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Journal articles on the topic 'Examprep'

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Published: 29 July 2024
Last updated: 30 July 2024

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1

Surname, Bob, Henry Blarg, and Fuzzybub Feeney. "What's up buttercup." Journal of Test Deposits 1, no. 1 (2000): 17. http://dx.doi.org/10.50505/example2.

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Feeney, Fuzzybub. "ᇒ궜 and ᘮ in spring." Journal of Test Deposits 1, no. 1 (2000): 27. http://dx.doi.org/10.50505/example3.

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Surname, Bob, Henry Blarg, and Fuzzybub Feeneyey. "Test surname length." Journal of Test Deposits 1, no. 1 (2000): 1. http://dx.doi.org/10.50505/example.

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4

McGinn, Kelly M., Karin E. Lange, and Julie L. Booth. "A Worked Example for Creating Worked Examples." Mathematics Teaching in the Middle School 21, no. 1 (August 2015): 26–33. http://dx.doi.org/10.5951/mathteacmiddscho.21.1.0026.

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Repenning, Alexander, and Corrina Perrone. "Programming by example: programming by analogous examples." Communications of the ACM 43, no. 3 (March 2000): 90–97. http://dx.doi.org/10.1145/330534.330546.

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Cain, James. "A Frankfurt Example to End All Frankfurt Examples." Philosophia 42, no. 1 (July 23, 2013): 83–93. http://dx.doi.org/10.1007/s11406-013-9471-0.

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7

van Gog, Tamara, Liesbeth Kester, and Fred Paas. "Effects of worked examples, example-problem, and problem-example pairs on novices’ learning." Contemporary Educational Psychology 36, no. 3 (July 2011): 212–18. http://dx.doi.org/10.1016/j.cedpsych.2010.10.004.

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Corless, Robert M., and Leili Rafiee Sevyeri. "The Runge Example for Interpolation and Wilkinson's Examples for Rootfinding." SIAM Review 62, no. 1 (January 2020): 231–43. http://dx.doi.org/10.1137/18m1181985.

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9

Engel, A. "Learning from Examples in Artificial Neural Networks: A Simple Example." Zeitschrift für Physikalische Chemie 204, Part_1_2 (January 1998): 19–26. http://dx.doi.org/10.1524/zpch.1998.204.part_1_2.019.

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10

ÖZEN, YASEMİN. "SECONDARY ANALYSIS ON GRAPHIC DESIGN PACKAGING EXAMPLES: DORITOS CHIPS PACKAGING EXAMPLE." EUROASIA JOURNAL OF SOCIAL SCIENCES & HUMANITIES 8, no. 23 (December 25, 2021): 24–30. http://dx.doi.org/10.38064/eurssh.263.

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In the consumption culture, the ability of the packaging produced to affect the buyer depends entirely on the power of graphical design. Different brand packages on the market shelves; attracts attention, promotes, protects, promotes as well as advertises. For this reason, brand packaging; It has a high sales share with the success it has achieved with its color, illustration and typography in accordance with graphic design criteria. In this study; It is aimed to evaluate the visuals of doritos chips packaging, created in line with the graphic design elements, with semiotic analysis. At this stage, while examining the packaging semiologically, the processes of idea generation, idea generation, idea visualization and the use of images will be evaluated. The research will be done with the literature review model.
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11

Roelle, Julian, Sara Hiller, Kirsten Berthold, and Stefan Rumann. "Example-based learning: The benefits of prompting organization before providing examples." Learning and Instruction 49 (June 2017): 1–12. http://dx.doi.org/10.1016/j.learninstruc.2016.11.012.

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Ozgur, Zekiye, Amy B. Ellis, Rebecca Vinsonhaler, Muhammed Fatih Dogan, and Eric Knuth. "From examples to proof: Purposes, strategies, and affordances of example use." Journal of Mathematical Behavior 53 (March 2019): 284–303. http://dx.doi.org/10.1016/j.jmathb.2017.03.004.

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Lange, Christopher, Norah Almusharraf, Yuliya Koreshnikova, and Jamie Costley. "The effects of example-free instruction and worked examples on problem-solving." Heliyon 7, no. 8 (August 2021): e07785. http://dx.doi.org/10.1016/j.heliyon.2021.e07785.

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Dienstag, Joshua Foa. "The Example of History and the History of Examples in Political Theory." New Literary History 48, no. 3 (2017): 483–502. http://dx.doi.org/10.1353/nlh.2017.0024.

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15

Sato, Satoshi. "MBT2: a method for combining fragments of examples in example-based translation." Artificial Intelligence 75, no. 1 (May 1995): 31–49. http://dx.doi.org/10.1016/0004-3702(94)00063-7.

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16

Kang, Kyungwan. "Examples of Synonym Analysis Using Linguistic Data: In Example of TOKUBETSU, TOKUSHU." Comparative Japanese Studies 56 (December 31, 2022): 127–47. http://dx.doi.org/10.31634/cjs.2022.56.127.

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17

Benton, Laura, George Varotsis, and Asimina Vasalou. "Leading by example: Exploring the influence of design examples on children's creative ideation." International Journal of Human-Computer Studies 122 (February 2019): 174–83. http://dx.doi.org/10.1016/j.ijhcs.2018.09.007.

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18

Hermuttaqien, Bhakti Prima Findiga, Eva Faradisa, and Arifin Manggau. "Pengaruh Model Pembelajaran Example Non-Examples Berbasis Project Citizen Terhadap Hasil Belajar Siswa." Jurnal Ilmiah Mimbar Demokrasi 22, no. 1 (November 9, 2022): 140–44. http://dx.doi.org/10.21009/jimd.v22i1.26876.

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Penelitian ini mempunyai tujuan untuk mengetahui ada tidaknya pengaruh signifikan penerapan model pembelajaran example non-examples berbasis project citizen terhadap hasil belajar siswa pada mata pelajaran PPKn kelas X di MA Al-Islam Bantur. Metode quasi experiment adalah metode yang digunakan oleh peneliti dengan jumlah siswa sebanyak 44. Pengambilan sampel menggunakan teknik clusterrandom dengan taraf kesalahan sebesar 5%. Adapun teknik pengumpulan data yang digunakan ialah tes dan angket. Sedangkan teknik analisis data yang digunakan ialah uji hipotesis yang terdiri dari uji T dan uji F. Berdasarkan pengujian pada uji T diketahui nilai Sig. (2-tailed) sebesar 0,000 < 0,05 yang artinya terdapat perbedaan signifikan rata-rata hasil belajar siswa. Sedangkan pada uji F diketahui nilai Sig. sebesar 0,02 < 0,05 yang artinya terdapat pengaruh signifikan penerapan model pembelajaran example non-examples berbasis project citizen terhadap hasil belajar siswa pada pelajaran PPKn kelas X di MA Al-Islam Bantur.
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19

Mustafa, Abdullatif Ahmed. "The Rhetorical study of the longest Quranic verse." Journal of University of Raparin 7, no. 1 (January 9, 2020): 575–92. http://dx.doi.org/10.26750/vol(7).no(1).paper30.

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This paper is a rhetorical study of a single verse of the Qur’an. Which is the verse of debts. It is the longest verse of the Qura'n. It contains many splendid rules and great values. that this verse is one of the most Comprehensive verses of the Qur’an. It makes the life of people more organised and ensures a good destiny in the hereafter. Allah exalted has emphasised good treatment which is the main aspect of Islam and its pillar. He overstated the recommendation to maintain halal money and the methods which need to be taken to keep it safe from being destroyed. Therefore, it includes forms of assertions. The paper shows that this verse contains more than twenty rhetorical methods as follows: 1. In intents and purposes for which the predicate is delivered, one example is included. 2. In how the speaker delivers the predicate to the addressee it included six examples. 3. In construction and its divisions it has more than ten examples. 4. It includes six examples of Commemoration. 5. It Includes nine examples of deletion. 6. It Includes one example of fronting. 7. It includes one example of masquerade 8. It Includes one example of restriction. 9. It Includes few examples of changing the topic. 10. It Includes one example of replacing the implicit with the explicit. 11. It Includes five examples of brevity. 12. It Includes few examples of redundancy. 13. It Includes one example of simile. 14. It Includes two examples of allegory. 15. It Includes one example of metaphor. 16. It Includes one example of Metonymy. 17. It Includes two examples of antithesis. 18. It Includes one example of combining two things onwards in one thing. 19. It Includes one example of good conclusion. 20. It Includes one example of rhymed proses. 21. It Includes six examples of paronomasia. All these rhetorical aspects indicate the inimitability of the Quran and it is from Allah which no other speeches can be equal to it due to its altitude, perfection and beauty.
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Yuan, Huan, Kelong Lu, Mengsi Jing, Cuirong Yang, and Ning Hao. "Examples in creative exhaustion: The role of example features and individual differences in creativity." Personality and Individual Differences 189 (April 2022): 111473. http://dx.doi.org/10.1016/j.paid.2021.111473.

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21

Renkl, Alexander, Robin Stark, Hans Gruber, and Heinz Mandl. "Learning from Worked-Out Examples: The Effects of Example Variability and Elicited Self-Explanations." Contemporary Educational Psychology 23, no. 1 (January 1998): 90–108. http://dx.doi.org/10.1006/ceps.1997.0959.

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22

KHOLIS, SITI NUR, Sarwo Edy, and Sri Suryanti. "PENGARUH PENGGUNAAN MODEL PEMBELAJARAN EXAMPLE NON EXAMPLES BERBASIS KONTEKSTUAL TERHADAP PEMAHAMAN MATEMATIKA PESERTA DIDIK." Postulat : Jurnal Inovasi Pendidikan Matematika 4, no. 1 (July 21, 2023): 60. http://dx.doi.org/10.30587/postulat.v4i1.5917.

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The purpose of this study was to determine the effect of using a learning model using the contextualbased Example non Examples method on students understanding of matemathics. The type of research used is Quantitative Research with a correlational research desighn, namely a study to determine the influence and level of influence between two or more variables. The sample in this study were 32 students, with data cllection techniques using observation instruments and questionnaires. The results of this study indicate that there is an affect of using the example non examples learning model on students understanding of matemathic, this is evindenced by the average value of control class is 65 and experience class is 85. The conclusion of this study can show that the ability to understand matemathics of students who are taught by applying the example non examples learning model is better than just using the conventional / lecture method. Keyword: learning models, example non Examples, student understanding
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23

Liu, Yixin, Kaidi Xu, Xun Chen, and Lichao Sun. "Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 4 (March 24, 2024): 3783–91. http://dx.doi.org/10.1609/aaai.v38i4.28169.

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The open sourcing of large amounts of image data promotes the development of deep learning techniques. Along with this comes the privacy risk of these image datasets being exploited by unauthorized third parties to train deep learning models for commercial or illegal purposes. To avoid the abuse of data, a poisoning-based technique, "unlearnable example", has been proposed to significantly degrade the generalization performance of models by adding imperceptible noise to the data. To further enhance its robustness against adversarial training, existing works leverage iterative adversarial training on both the defensive noise and the surrogate model. However, it still remains unknown whether the robustness of unlearnable examples primarily comes from the effect of enhancement in the surrogate model or the defensive noise. Observing that simply removing the adversarial perturbation on the training process of the defensive noise can improve the performance of robust unlearnable examples, we identify that solely the surrogate model's robustness contributes to the performance. Furthermore, we found a negative correlation exists between the robustness of defensive noise and the protection performance, indicating defensive noise's instability issue. Motivated by this, to further boost the robust unlearnable example, we introduce Stable Error-Minimizing noise (SEM), which trains the defensive noise against random perturbation instead of the time-consuming adversarial perturbation to improve the stability of defensive noise. Through comprehensive experiments, we demonstrate that SEM achieves a new state-of-the-art performance on CIFAR-10, CIFAR-100, and ImageNet Subset regarding both effectiveness and efficiency.
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24

Salsabila Fauziyah, Ari Suryawan, Putri Meinita Triana, and Rr. Ratna Hapsari Puspitawati. "Pengaruh Model Pembelajaran Example Non Examples Berbantuan Media Gambar Terhadap Hasil Belajar PPKn Siswa." JPG: Jurnal Pendidikan Guru 5, no. 1 (January 5, 2024): 103–12. http://dx.doi.org/10.32832/jpg.v5i1.15414.

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Penelitian ini bertujuan untuk mengetahui pengaruh model pemebelajaran example non examples berbantuan media gambar terhadap hasil belajar peserta didik kelas II. Populasi pada penelitian ini sebanyak 13 peserta didik kelas II Madrasah Ibtidaiyah Muhammadiyah Al-Muttaqien. Pemenilitan ini adalah penelitian kuantitatif menggunakan metode Pre-Eksperimental Design dengan One Group Pre-Test Post-Test Desing. Teknik pengumpulan data pada penelitian ini menggunakan instrumen soal pilihan ganda yang diuji prasyarat analisis data dan pengujian hipotesis. Sebelum pengambilan data lembar instrumen soal terlebih dahulu di validitas dan reliabilitasnya. Untuk teknik analisis data yakni uji normalitas menggunakan uji kolmogorov-Smirnov dan shapiro-Wilk, untuk uji hipotesis menggunakan sample pired t-Test dengan softwear SPSS versi 20. Hasil uji hipotesis menujukkan nilai signifikasi sebesar 0,000 yang artinya kurang dari taraf signifikasi (α) 0,05 maka Ho ditolak. Artinya terdapat perbedaan yang signifikan antara nilai pretest dan nilai posttest. Dari hasil tersebut dapat dilihat t hitung bernilai negatif yaitu -5,133 yang berarti rata-rata sebelum diberikan perlakuan lebih rendah daripada setelah diberikan perlakuan. Maka berdasarkan data tersebut dapat disimpulkan bahwa “terdapat pengaruh model pembelajaran Example Non Example berbantuan media gambar terhadap hasil belajar PPKn kelas II Madrasah Ibtidaiyah Muhammadiyah Al-Muttaqien”.
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25

Choi, Seok-Hwan, Tae-u. Bahk, Sungyong Ahn, and Yoon-Ho Choi. "Clustering Approach for Detecting Multiple Types of Adversarial Examples." Sensors 22, no. 10 (May 18, 2022): 3826. http://dx.doi.org/10.3390/s22103826.

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With intentional feature perturbations to a deep learning model, the adversary generates an adversarial example to deceive the deep learning model. As an adversarial example has recently been considered in the most severe problem of deep learning technology, its defense methods have been actively studied. Such effective defense methods against adversarial examples are categorized into one of the three architectures: (1) model retraining architecture; (2) input transformation architecture; and (3) adversarial example detection architecture. Especially, defense methods using adversarial example detection architecture have been actively studied. This is because defense methods using adversarial example detection architecture do not make wrong decisions for the legitimate input data while others do. In this paper, we note that current defense methods using adversarial example detection architecture can classify the input data into only either a legitimate one or an adversarial one. That is, the current defense methods using adversarial example detection architecture can only detect the adversarial examples and cannot classify the input data into multiple classes of data, i.e., legitimate input data and various types of adversarial examples. To classify the input data into multiple classes of data while increasing the accuracy of the clustering model, we propose an advanced defense method using adversarial example detection architecture, which extracts the key features from the input data and feeds the extracted features into a clustering model. From the experimental results under various application datasets, we show that the proposed method can detect the adversarial examples while classifying the types of adversarial examples. We also show that the accuracy of the proposed method outperforms the accuracy of recent defense methods using adversarial example detection architecture.
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26

Viswanathan, Vimal, Megan Tomko, and Julie Linsey. "A study on the effects of example familiarity and modality on design fixation." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30, no. 2 (April 18, 2016): 171–84. http://dx.doi.org/10.1017/s0890060416000056.

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AbstractDesign fixation is a factor that negatively influences the generation of novel design concepts (Jansson & Smith, 1991). When designers fixate, they tend to reproduce example features or features from their initial ideas. In order to mitigate design fixation, it is crucial to identify the factors that influence the extent of design fixation. This paper investigates two such factors: the modality of examples and the familiarity of designers with the example features. To investigate this, an experiment is conducted with mechanical engineering students who were asked to generate ideas to solve a peanut sheller design problem. The students generated ideas in five different experimental conditions: control, where no example was given; the first example given in a sketch form; the first example given as a nonfunctional prototype; a second example in sketch form; and the second example in a working prototype form. The first example was a nonfeasible solution, but it contained several features familiar to the participants. The second example was a feasible solution, but it contained less familiar features. In order to understand the extent of fixation triggered by the examples, three metrics were utilized to compare across the experimental conditions: the quantity of nonredundant ideas generated by the participants, the presence of example features in their solutions, and their fixation to the example's energy source. The results showed that in the case of the familiar example, the example modality did play an important role in the extent of design fixation. Across the examples, it was found that the first example containing several familiar features caused more fixation than the second one. Overall, this paper shows that the modality in which the example was communicated and the presence of familiar features in an example influenced the fixation caused by those examples.
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27

Naumenko, S. "FAKE DRIVERS AND CERTIFICATES FOR REGISTRATION OF VEHICLES MANUFACTURED ON POLYMER III GENERATION, EXAMPLE EXAMPLES." Criminalistics and Forensics, no. 65 (May 18, 2020): 777–81. http://dx.doi.org/10.33994/kndise.2020.65.78.

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Thus, the described documents on a plastic basis have a number of significant drawbacks. These factors contribute to the legalization of stolen and non-cleared vehicles, which in turn leads to costly losses and shortfalls in the budget of significant funds, as well as the use of fake driver’s licenses. To correct this situation, it is necessary to strengthen the protection of this type of documents by applying additional protection methods, for example: inscriptions or images that will be damaged when deleting personal data, leaving traces of erasing, applying personal data by laser engraving. Applying the document number after personalization by laser perforation or volumetric laser engraving, it is also necessary to establish effective control over consumables. These issues are most effectively resolved when implementing centralized personalization of this type of documents.
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28

Suherman, Nanang. "Upaya Meningkatkan Kemampuan Berpikir Geometri Van Hiele Siswa SMP Melalui Model Pembelajaran Example Non Examples." Jurnal Analisa 2, no. 2 (June 13, 2016): 69–80. http://dx.doi.org/10.15575/ja.v2i2.5379.

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Pokok bahasan geometri yang berhubungan dengan visualisasi gambar seringkali mengakibatkan siswa tidak senang dalam menghadapi pelajaran matematika. Jika dihubungkan dengan kemampuan berpikir matematis maka kemampuan yang paling cocok untuk dikembangkan berdasarkan masalah tersebut adalah kemampuan berpikir geometri Van Hiele. Tahapan berpikir geometri Van Hiele terdiri dari tahap pengenalan, analisis, pengurutan dan deduksi. Untuk mengaplikasikannya peneliti menggunakan model pembelajaran Example non Examples yang sejalan dengan berpikir geometri Van Hiele karena menggunakan media gambar. Tujuan penulisan skripsi ini adalah untuk mengetahui aktifitas guru dan siswa di kelas, kemampuan berpikir geometri Van Hiele siswa, dan sikap siswa. Subjek pada penelitian ini adalah siswa SMPN 8 Bandung kelas VIII-C semester 2 tahun ajaran 2011/2012. Instrumen yang digunakan adalah tes hasil belajar yang berupa tes formatif dan post tes. Untuk memperoleh data mengenai sikap siswa digunakan angket skala sikap. Dari hasil penelitian, diperoleh kesimpulan bahwa aktifitas guru dan siswa mengalami peningkatan untuk setiap siklus, kemampuan berpikir geometri Van Hiele siswa untuk setiap siklus pada sebagian besar siswa tergolong penguasaan tinggi dan lengkap, kemampuan berpikir geometri Van Hiele siswa diseluruh siklus pada sebagian besar siswa tergolong penguasaan tinggi dan lengkap. Dan hampir seluruh siswa bersikap positif terhadap pelajaran matematika, pembelajaran Example non Examples, dan soalsoal geometri Van Hiele. Terlihat dari rata-rata skor sikap siswa untuk setiap indikator selalu lebih besar dari pada skor netral siswa.
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Booth, Julie L., Karin E. Lange, Kenneth R. Koedinger, and Kristie J. Newton. "Using example problems to improve student learning in algebra: Differentiating between correct and incorrect examples." Learning and Instruction 25 (June 2013): 24–34. http://dx.doi.org/10.1016/j.learninstruc.2012.11.002.

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30

Prado, Jefferson, and Robbin C. Moran. "(049) Proposal to amend Article 60.11 and its Examples, and to add a new Example." TAXON 69, no. 6 (December 2020): 1392. http://dx.doi.org/10.1002/tax.12392.

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31

Atkinson, Robert K., and Alexander Renkl. "Interactive Example-Based Learning Environments: Using Interactive Elements to Encourage Effective Processing of Worked Examples." Educational Psychology Review 19, no. 3 (September 1, 2007): 375–86. http://dx.doi.org/10.1007/s10648-007-9055-2.

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32

Herawati, Anisa, Nurul Astuty Yensy, and Rusdi Rusdi. "PENGARUH HASIL BELAJAR MATEMATIKA SISWA DENGAN MENGUNAKAN PEMBELAJARAN EXAMPLE NON EXAMPLE DI SMPN 7 KOTA BENGKULU." Jurnal Penelitian Pembelajaran Matematika Sekolah (JP2MS) 3, no. 1 (April 25, 2019): 58–65. http://dx.doi.org/10.33369/jp2ms.3.1.58-65.

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AbstrakPenelitian ini bertujuan untuk mengetahui apakah ada perbedaan rata-rata hasil belajara matematika siswa dengan mengunakan model pembelajaran example non example dan model pembelajaran ekspositori di SMP Negeri 7 Kota Bengkulu. Populasi pada penelitian ini adalah siswa kelas VII SMP Negeri 7 Kota Bengkulu. Sampel penelitian ini adalah siswa kelas VII A sebagai kelas sampel 1 yang mengunakan model pemebalajan example non exampel dan Kelas VII H sebagai kelas sampel 2 dengan mengunakan model pembelajaran ekspositori. Teknik pengumpulan data dengan mengunakan instrument tes. Untuk analisis data mengunakan uji-t dengan data berdistribusi normal dan homogen. Nilai rata-rata kelas sampel 1 adalah 64,92 dan nialai rata-rata kelas sampel 2 yaitu 48,88. Berdasarkan hasil penelitian diperoleh rata-rata siswa yang diajar mengunakan Model Pembelajaran Exampel Non Exampel lebih tinggi dari pada rata-rata nilai siswa yang mengunakan model pembelajaran ekspositori. Hasil uji hipotesis diperoleh dengan mengunakan bantuan SPSS dengan yaitu Sig. (p-value) = 0,000 < taraf signifikan () = 0.05 maka H0 ditolak. Sehingga dapat disimpulkan bahwa terdapat perbedaan rata-rata hasil belajar matematika siswa antara siswa yang mengunakan model pembelajaran example non example di kelas VII SMP Negeri 7 Kota Bengkulu.Kata kunci : Hasil Belajar, Model Pembelajaran Example Non Example. AbstractThis study aimed to determine whether there was a influence in the average learning outcomes of mathematics students using the model example non example in SMP Negeri 7 Bengkulu City. The population in this study was the seventh grade students of SMP Negeri 7 Kota Bengkulu. The sample of this research was the students of class VII A as a sample class 1 using model example of non exampel and Class VII H as sample 2 class by using expository learning model. Technique of collecting data was test instrument. For data analysis, used t-test with normal and homogeneous distributed data. The mean grade of sample 1 was 64.92 and the mean of sample 2 was 48.88. Based on the result of the research, it was found that the average of students who were taught using Learning Model Exampel Non Exampel was higher than the average of the students who used the expository learning model. Hypothesis test results had obtained by using SPSS assistance with the Sig. (p-value) = 0,000 < significant level (?) = 0.05 then H0 was rejected. Threfore, it can be concluded that there were differences in the average results of student learning mathematics influence students using non example example model in class VII SMP Negeri 7 Kota Bengkulu. Keywords: Learning Outcomes, Exampel Non Exampel, Expository
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33

Hou, Shou Ming, Li Juan He, Wen Peng Xu, Hua Tao Fan, and Zhong Qi Sheng. "Computation Model of Case Similarity Based on Uneven Weight Distance Coefficient." Applied Mechanics and Materials 44-47 (December 2010): 3965–69. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.3965.

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In order to solve the retrieval problem of design example in rapid response design, similarity computation model among design examples is given, computation of attribute weight of design example is done based on the method of uneven weight distance coefficient, computation of similarity between product structure model that meet the requirement of customers and design examples existed is done by the method of combination weight. This method has been applied in rolling guide conceptual design based on example inference, the result indicated that the weight computational method proposed is simple and the reliability is good, it can solve the intelligent retrieval problem of design examples in rapid response design.
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Kafrita, Nova, and Sari Fatul Husnah. "Efek Penerapan Model Example Non Example Terhadap Hasil Belajar Kognitif Fisika pada Materi Getaran, Gelombang dan Bunyi." JEMST (Jurnal of Education in Mathematics, Science, and Technology) 3, no. 1 (June 30, 2020): 1–8. http://dx.doi.org/10.30631/jemst.v3i1.27.

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Penelitian ini dilatar belakangi oleh temuan lapangan peneliti di mana siswa mengalami kesulitan dalam memahami konsep fisika yang menyebabkan rendahnya motivasi belajar siswa, sebagai dampak akhir yaitu rendahnya hasil belajar fisika. Salah satu penyebab permasalahan tersebut adalah ketidaksesuaian model yang digunakan guru dalam proses pembelajaran, sehingga perlu diterapkan model yang sesuai untuk mengatasi masalah yang ditemukan. Salah satu model yang sesuai untuk mengatasi masalah yang ditemukan yaitu model Exampel Non Exampel. Penelitian ini berujuan untuk mengetahui seberapa besar pengaruh dan signifikan penggunaan model Exampen Non Exampel terhadap hasil belajar kognitif siswa pada pembelajaran fisika khususnya pada materi getaran, gelombang dan bunyi di kelas VIII Madrasah Tsanawiyah (Mts) Asas Islamiyah Kota Jambi Tahun 2019/2020. Populasi penelitian ini adalah seluruh siswa kelas VIII. Teknik pengambilan sampel adalah Cluster Random Sampling, sehingga didapatkan sampel yaitu VIII A dan VIIIB. Instrumen penelitian adalah tes hasil belajar fisika. Analisis hipotesis penelitian menggunakan uji “t” dan untuk melihat antara dua variabel diskrit menggunakan korelasi phi. Berdasarkan hasil uji “t” menunjukan adanya perbedaan hasil belajar kelas eksperimen dengan kelas kontrol. Hal ini dibuktikan oleh hasil uji t, dengan nilai 2,01<3,135>2,68 pada taraf signifikansi 5% dan 1%. Hasil uji korelasi phi dengan nilai 0,273<0,431>0,23 pada taraf signifikansi 5% dan 1%. Hasil korelasi phi menunjukkan adanya pengaruh dan signifikansi penggunaan model Exampel Non Example.
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35

Wu, Yuhang, Sunpreet S. Arora, Yanhong Wu, and Hao Yang. "Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 4 (May 18, 2021): 2969–77. http://dx.doi.org/10.1609/aaai.v35i4.16404.

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Adversarial examples are input examples that are specifically crafted to deceive machine learning classifiers. State-of-the-art adversarial example detection methods characterize an input example as adversarial either by quantifying the magnitude of feature variations under multiple perturbations or by measuring its distance from estimated benign example distribution. Instead of using such metrics, the proposed method is based on the observation that the directions of adversarial gradients when crafting (new) adversarial examples play a key role in characterizing the adversarial space. Compared to detection methods that use multiple perturbations, the proposed method is efficient as it only applies a single random perturbation on the input example. Experiments conducted on two different databases, CIFAR-10 and ImageNet, show that the proposed detection method achieves, respectively, 97.9% and 98.6% AUC-ROC (on average) on five different adversarial attacks, and outperforms multiple state-of-the-art detection methods. Results demonstrate the effectiveness of using adversarial gradient directions for adversarial example detection.
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36

Corral, Daniel, and Shana K. Carpenter. "Facilitating transfer through incorrect examples and explanatory feedback." Quarterly Journal of Experimental Psychology 73, no. 9 (March 9, 2020): 1340–59. http://dx.doi.org/10.1177/1747021820909454.

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This article examines whether studying correct versus incorrect examples produces differential learning. A prediction that follows from behaviourism is that learning should be best from studying correct examples. A contrasting prediction is that incorrect examples can highlight a concept’s properties that are missing in the example, and thereby enable concept learning. We test these ideas across two experiments, wherein subjects were shown hypothetical study scenarios and were asked to determine whether each was a true experiment. In Experiment 1, some subjects were only presented correct examples, some were only presented incorrect examples, and others were presented both. In addition, example type was crossed with feedback type: Some subjects were given explanatory feedback and some were not given any feedback; a control condition was also included, wherein subjects were not shown any study scenarios. All subjects completed a posttest involving novel scenarios; some questions asked subjects to indicate whether they were true experiments (classification questions), and some asked them to specify what was lacking in the design or to indicate how it could be fixed (application questions). Experiment 2 used a similar design, but compared explanatory feedback with corrective feedback. In both experiments, as long as some form of feedback was provided, subjects in the mixed example condition achieved the best classification performance. Furthermore, subjects in the incorrect and mixed example conditions performed best on application questions, particularly when explanatory feedback was provided. These findings offer insights into the mechanisms that might underlie learning from incorrect examples.
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37

Dinca, Nadia Luiza. "THE INTERNAL RULES OF THE EXAMPLE DATABASE DESIGN." Professional Communication and Translation Studies 3 (May 9, 2023): 67–74. http://dx.doi.org/10.59168/wtnf8464.

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One of the internal rules of the example-based translation is the dependence of the translation quality on the length and representation of translation examples. These are managed by an example database, for which the linguist should answer two questions when s/he intends to design it: (1) what is the representation chosen for the translation example? and (2) what are the possibilities to generalize the translation examples stored in the database? In this paper my intent is to propose two answers, in fact – a synergetical research direction for Romanian, English and French language. I will consider the representation of the translation examples as depedency trees and I will generalize them by means of the semantic information described by Levin’s verb classes.
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38

Bradecki, Tomasz, and Paulina Konsek. "Examples and Concepts of Floating Architecture in the Face of Climate Change - The Example of Szczecin." IOP Conference Series: Materials Science and Engineering 960 (December 10, 2020): 032062. http://dx.doi.org/10.1088/1757-899x/960/3/032062.

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39

D’Angelo, Jennifer K., Kristin Diehl, and Lisa A. Cavanaugh. "Lead by Example? Custom-Made Examples Created by Close Others Lead Consumers to Make Dissimilar Choices." Journal of Consumer Research 46, no. 4 (May 16, 2019): 750–73. http://dx.doi.org/10.1093/jcr/ucz019.

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Abstract Prior to customizing for themselves, consumers often encounter products customized by other people within their social network. Our research suggests that when encountering a custom-made example of an identity-related product created by an identified social other, consumers infer this social other was motivated to express uniqueness. After making this inference, consumers are also motivated to express uniqueness, particularly when the example was created by a close versus distant social other. Consumers express uniqueness through their own customization choices, choosing fewer options shown in the example or choosing fewer best-selling options. Consumers sometimes even pay a monetary cost or sacrifice preferred choices in order to make their own product unique. Further, this effect dissipates when motivations other than expressing uniqueness are inferred about a social other (e.g., for functionally related products). Across eight studies that span different product contexts, involve real choices, and isolate the underlying theoretical mechanism (i.e., motivation to express uniqueness), our research documents the unique role of custom-made examples, demonstrates the importance of social distance for customization choices, and identifies a novel path explaining when and why individuals express uniqueness.
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40

Bolkan, San, and Alan K. Goodboy. "Instruction, example order, and student learning: reducing extraneous cognitive load by providing structure for elaborated examples." Communication Education 69, no. 3 (December 23, 2019): 300–316. http://dx.doi.org/10.1080/03634523.2019.1701196.

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41

Garzón-Alvarado, Diego A., C. H. Galeano, and J. M. Mantilla. "Computational examples of reaction–convection–diffusion equations solution under the influence of fluid flow: First example." Applied Mathematical Modelling 36, no. 10 (October 2012): 5029–45. http://dx.doi.org/10.1016/j.apm.2011.12.041.

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42

Lopes, Artur, and Sílvia Lopes. "Parametric estimation and spectral analysis of piecewise linear maps of the interval." Advances in Applied Probability 30, no. 3 (September 1998): 757–76. http://dx.doi.org/10.1239/aap/1035228128.

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We present an estimation procedure and analyse spectral properties of stochastic processes of the kind Zt = Xt + ξt = ϕ(Tt(ψ)) + ξt, for t ∊ Z, where T is a deterministic map, ϕ is a given function and ξt is a noise process. The examples considered in this paper generalize the classical harmonic model Zt = Acos(ω0t + ψ) + ξt, for t ∊ Z. Two examples are developed at length. In the first one, the spectral measure is discrete and in the second it is continuous. In the second example, the time series is obtained from a chaotic map. These two examples exhibit the extremal cases of different possibilities for the spectral measure of time series and they are both associated with ergodic deterministic transformations with noise. We present a method for obtaining explicitly the spectral density function (second example) and the autocorrelation coefficients (first example). In the first example the rotation number plays an important role. We also consider large deviation properties of the estimated parameters of the model.
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43

Liu, Tao, Xiaoyong Du, Yongdong Xu, Minghui Li, and Xiaolong Wang. "Partially Supervised Text Classification with Multi-Level Examples." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (August 4, 2011): 890–95. http://dx.doi.org/10.1609/aaai.v25i1.7969.

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Partially supervised text classification has received great research attention since it only uses positive and unlabeled examples as training data. This problem can be solved by automatically labeling some negative (and more positive) examples from unlabeled examples before training a text classifier. But it is difficult to guarantee both high quality and quantity of the new labeled examples. In this paper, a multi-level example based learning method for partially supervised text classification is proposed, which can make full use of all unlabeled examples. A heuristic method is proposed to assign possible labels to unlabeled examples and partition them into multiple levels according to their labeling confidence. A text classifier is trained on these multi-level examples using weighted support vector machines. Experiments show that the multi-level example based learning method is effective for partially supervised text classification, and outperforms the existing popular methods such as Biased-SVM, ROC-SVM, S-EM and WL.
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Cesa-Bianchi, Nicolò, Shai Shalev-Shwartz, and Ohad Shamir. "Quantity Makes Quality: Learning with Partial Views." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (August 4, 2011): 1547–50. http://dx.doi.org/10.1609/aaai.v25i1.7953.

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In many real world applications, the number of examples to learn from is plentiful, but we can only obtain limited information on each individual example. We study the possibilities of efficient, provably correct, large-scale learning in such settings. The main theme we would like to establish is that large amounts of examples can compensate for the lack of full information on each individual example. The type of partial information we consider can be due to inherent noise or from constraints on the type of interaction with the data source. In particular, we describe and analyze algorithms for budgeted learning, in which the learner can only view a few attributes of each training example, and algorithms for learning kernel-based predictors, when individual examples are corrupted by random noise.
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45

Lin, Christopher, Mausam Mausam, and Daniel Weld. "Active Learning with Unbalanced Classes and Example-Generation Queries." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 6 (June 15, 2018): 98–107. http://dx.doi.org/10.1609/hcomp.v6i1.13334.

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Machine learning in real-world high-skew domains is difficult, because traditional strategies for crowdsourcing labeled training examples are ineffective at locating the scarce minority-class examples. For example, both random sampling and traditional active learning (which reduces to random sampling when just starting) will most likely recover very few minority-class examples. To bootstrap the machine learning process, researchers have proposed tasking the crowd with finding or generating minority-class examples, but such strategies have their weaknesses as well. They are unnecessarily expensive in well-balanced domains, and they often yield samples from a biased distribution that is unrepresentative of the one being learned.This paper extends the traditional active learning framework by investigating the problem of intelligently switching between various crowdsourcing strategies for obtaining labeled training examples in order to optimally train a classifier. We start by analyzing several such strategies (e.g., annotate an example, generate a minority-class example, etc.), and then develop a novel, skew-robust algorithm, called MB-CB, for the control problem. Experiments show that our method outperforms state-of-the-art GL-Hybrid by up to 14.3 points in F1 AUC, across various domains and class-frequency settings.
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46

Brešar, Matej, W. S. Martindale, and C. Robert Miers. "Dependent Automorphisms in Prime Rings." Canadian Mathematical Bulletin 41, no. 4 (December 1, 1998): 452–62. http://dx.doi.org/10.4153/cmb-1998-059-1.

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AbstractFor each n ≥ 4 we construct a class of examples of a minimal C dependent set of n automorphisms of a prime ring R, where C is the extended centroid of R. For n = 4 and n = 5 it is shown that the preceding examples are completely general, whereas for n = 6 an example is given which fails to enjoy any of the nice properties of the above example.
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47

Kurniawati, Nia, and Novi Trisnawati. "Analisis Pengaruh Model Pembelajaran Examples Non Examples Terhadap Hasil Belajar Siswa Pada Kompetensi Dasar Tata Ruang Kantor (Studi Pada Siswa Kelas X OTKP SMK Pawiyatan Surabaya)." Jurnal Pendidikan Administrasi Perkantoran (JPAP) 9, no. 2 (August 16, 2020): 260–69. http://dx.doi.org/10.26740/jpap.v9n2.p260-269.

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The purpose of writing this article is to describe the effect of the Example Non Examples learning model on student learning outcomes on the basic competency of office layout in class X OTKP SMK Pawiyatan Surabaya. The research sample of Class X OTKP 3 (experimental class) with Example Non Example method and Class X OTKP 2 (control class) is subject to conventional learning models, with the number of students in each class of 30 students. This type of research is a literature study. The results showed that the office spatial learning materials have used learning models that prioritize group learning activities to study the material. Examples of learning are not examples that can make students become more understanding of the material being studied than students who successfully analyze the images presented. In addition, non-example model examples can make students find themselves understanding the results of the analysis conducted, make the classroom learning process in which students become active participants rather than passive observers, and are responsible for their learning. based on the research that has been done, the suggestion that can be conveyed is to use the Cooperative learning model Project Based Learning type is expected to provide one of the variations of learning models on the basic competencies of office layout.
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48

Aminpour, Maral, Carlo Montemagno, and Jack A. Tuszynski. "An Overview of Molecular Modeling for Drug Discovery with Specific Illustrative Examples of Applications." Molecules 24, no. 9 (April 30, 2019): 1693. http://dx.doi.org/10.3390/molecules24091693.

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In this paper we review the current status of high-performance computing applications in the general area of drug discovery. We provide an introduction to the methodologies applied at atomic and molecular scales, followed by three specific examples of implementation of these tools. The first example describes in silico modeling of the adsorption of small molecules to organic and inorganic surfaces, which may be applied to drug delivery issues. The second example involves DNA translocation through nanopores with major significance to DNA sequencing efforts. The final example offers an overview of computer-aided drug design, with some illustrative examples of its usefulness.
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49

Nasution, Eni Sumanti, and Wirna Susanti. "PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE EXAMPLES NON EXAMPLES MENGGUNAKAN MEDIA LABORATORIUM TERHADAP HASIL BELAJAR SISWA 2018." Eksakta : Jurnal Penelitian dan Pembelajaran MIPA 4, no. 2 (August 15, 2019): 85. http://dx.doi.org/10.31604/eksakta.v4i2.85-90.

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Penelitian ini bertujuan untuk menganalisis hasil belajar fisika siswa dengan menggunakan model pembelajaran koopertif tipe Example non Examples berbantuan laboratorium lebih baik dibandingkan dengan menggunakan pembelajaran konvensional. Penelitian yang dilakukan secara quasi eksperimen, populasi Penelitian ini adalah siswa kelas X SMAN 1 Tapung Hulu. Pemilihan sampel dilakukan secara cluster random sampling yaitu kelas X2 dan X1 . Instrumen penelitian ini menggunakan tes Hasil Belajar yang telah valid dan realibel.. Data dalam penelitian ini dianalisis dengan Uji t. Hasil penelitian menunjukkan bahwa Terdapat pengaruh hasil belajar siswa dengan menggunakan pembelajaran Kooperatif Example Non Examples berbantuan laboratorium hal ini dapat dilihat hasil belajar siswa meningkat dari 41,85 menjadi 81,68. Hasil belajar siswa dengan menggunakan model pembelajaran kooperatif Examples Non Examples berbantuan laboratorium lebih baik dibandingkan dengan pembelajaran konvensional.
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50

Lopes, Artur, and Sílvia Lopes. "Parametric estimation and spectral analysis of piecewise linear maps of the interval." Advances in Applied Probability 30, no. 03 (September 1998): 757–76. http://dx.doi.org/10.1017/s0001867800008594.

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We present an estimation procedure and analyse spectral properties of stochastic processes of the kind Z t = X t + ξ t = ϕ(T t (ψ)) + ξ t , for t ∊ Z, where T is a deterministic map, ϕ is a given function and ξ t is a noise process. The examples considered in this paper generalize the classical harmonic model Z t = Acos(ω0 t + ψ) + ξ t , for t ∊ Z. Two examples are developed at length. In the first one, the spectral measure is discrete and in the second it is continuous. In the second example, the time series is obtained from a chaotic map. These two examples exhibit the extremal cases of different possibilities for the spectral measure of time series and they are both associated with ergodic deterministic transformations with noise. We present a method for obtaining explicitly the spectral density function (second example) and the autocorrelation coefficients (first example). In the first example the rotation number plays an important role. We also consider large deviation properties of the estimated parameters of the model.
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