Добірка наукової літератури з теми "Metric learning paradigm"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Metric learning paradigm".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Metric learning paradigm"
Brockmeier, Austin J., John S. Choi, Evan G. Kriminger, Joseph T. Francis, and Jose C. Principe. "Neural Decoding with Kernel-Based Metric Learning." Neural Computation 26, no. 6 (June 2014): 1080–107. http://dx.doi.org/10.1162/neco_a_00591.
Повний текст джерелаSaha, Soumadeep, Utpal Garain, Arijit Ukil, Arpan Pal, and Sundeep Khandelwal. "MedTric : A clinically applicable metric for evaluation of multi-label computational diagnostic systems." PLOS ONE 18, no. 8 (August 10, 2023): e0283895. http://dx.doi.org/10.1371/journal.pone.0283895.
Повний текст джерелаGong, Xiuwen, Dong Yuan, and Wei Bao. "Online Metric Learning for Multi-Label Classification." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4012–19. http://dx.doi.org/10.1609/aaai.v34i04.5818.
Повний текст джерелаQiu, Wei. "Based on Semi-Supervised Clustering with the Boost Similarity Metric Method for Face Retrieval." Applied Mechanics and Materials 543-547 (March 2014): 2720–23. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2720.
Повний текст джерелаXiao, Qiao, Khuan Lee, Siti Aisah Mokhtar, Iskasymar Ismail, Ahmad Luqman bin Md Pauzi, Qiuxia Zhang, and Poh Ying Lim. "Deep Learning-Based ECG Arrhythmia Classification: A Systematic Review." Applied Sciences 13, no. 8 (April 14, 2023): 4964. http://dx.doi.org/10.3390/app13084964.
Повний текст джерелаNiu, Gang, Bo Dai, Makoto Yamada, and Masashi Sugiyama. "Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization." Neural Computation 26, no. 8 (August 2014): 1717–62. http://dx.doi.org/10.1162/neco_a_00614.
Повний текст джерелаWilde, Henry, Vincent Knight, and Jonathan Gillard. "Evolutionary dataset optimisation: learning algorithm quality through evolution." Applied Intelligence 50, no. 4 (December 27, 2019): 1172–91. http://dx.doi.org/10.1007/s10489-019-01592-4.
Повний текст джерелаZhukov, Alexey, Jenny Benois-Pineau, and Romain Giot. "Evaluation of Explanation Methods of AI - CNNs in Image Classification Tasks with Reference-based and No-reference Metrics." Advances in Artificial Intelligence and Machine Learning 03, no. 01 (2023): 620–46. http://dx.doi.org/10.54364/aaiml.2023.1143.
Повний текст джерелаPinto, Danna, Anat Prior, and Elana Zion Golumbic. "Assessing the Sensitivity of EEG-Based Frequency-Tagging as a Metric for Statistical Learning." Neurobiology of Language 3, no. 2 (2022): 214–34. http://dx.doi.org/10.1162/nol_a_00061.
Повний текст джерелаGomoluch, Paweł, Dalal Alrajeh, and Alessandra Russo. "Learning Classical Planning Strategies with Policy Gradient." Proceedings of the International Conference on Automated Planning and Scheduling 29 (May 25, 2021): 637–45. http://dx.doi.org/10.1609/icaps.v29i1.3531.
Повний текст джерелаДисертації з теми "Metric learning paradigm"
Berry, Chadwick Alan. "The fidelity of long-term memory for perceptual magnitudes, symbolic vs. metric learning paradigms." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29183.pdf.
Повний текст джерелаКниги з теми "Metric learning paradigm"
The fidelity of long-term memory for perceptual magnitudes: Symbolic vs. metric learning paradigms. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1999.
Знайти повний текст джерелаЧастини книг з теми "Metric learning paradigm"
Biehl, Michael, Barbara Hammer, Petra Schneider, and Thomas Villmann. "Metric Learning for Prototype-Based Classification." In Innovations in Neural Information Paradigms and Applications, 183–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04003-0_8.
Повний текст джерелаStevens, Alexander, Johannes De Smedt, and Jari Peeperkorn. "Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring." In Lecture Notes in Business Information Processing, 194–206. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98581-3_15.
Повний текст джерелаBarbalet, Thomas S. "Noble Ape’s Cognitive Simulation." In Machine Learning, 1839–55. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch709.
Повний текст джерелаAnand, Poonam, and Starr Ackley. "Equitable Assessment and Evaluation of Young Language Learners." In Advances in Early Childhood and K-12 Education, 84–107. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6487-5.ch005.
Повний текст джерелаMarkowitz, John C. "Interpersonal Psychotherapy." In In the Aftermath of the Pandemic, 18–39. Oxford University Press, 2021. http://dx.doi.org/10.1093/med-psych/9780197554500.003.0004.
Повний текст джерелаCatal, Cagatay, and Soumya Banerjee. "Application of Artificial Immune Systems Paradigm for Developing Software Fault Prediction Models." In Machine Learning, 371–87. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch302.
Повний текст джерелаIvanov, Bogdan, Victorița Trif, and Ana Trif. "Assessment and Paradigms." In Analyzing Paradigms Used in Education and Educational Psychology, 121–43. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1427-6.ch006.
Повний текст джерелаMadan, Shipra, Tapan Kumar Gandhi, and Santanu Chaudhury. "Bone age assessment using metric learning on small dataset of hand radiographs." In Advanced Machine Vision Paradigms for Medical Image Analysis, 259–71. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-819295-5.00010-x.
Повний текст джерелаSuganthi, J., B. Nagarajan, and S. Muhtumari. "Network Anomaly Detection Using Hybrid Deep Learning Technique." In Advances in Parallel Computing Algorithms, Tools and Paradigms. IOS Press, 2022. http://dx.doi.org/10.3233/apc220014.
Повний текст джерелаAdriaans, Pieter. "A Computational Theory of Meaning." In Advances in Info-Metrics, 32–78. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190636685.003.0002.
Повний текст джерелаТези доповідей конференцій з теми "Metric learning paradigm"
Gao, Qiang, Xiaohan Wang, Chaoran Liu, Goce Trajcevski, Li Huang, and Fan Zhou. "Open Anomalous Trajectory Recognition via Probabilistic Metric Learning." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/233.
Повний текст джерелаYonghe, Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Shaowu Zhang, and Fan Xiaochao. "Refining Word Representations by Manifold Learning." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/749.
Повний текст джерелаXue, Wanqi, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, and Chai Kiat Yeo. "Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/511.
Повний текст джерелаHayes, Tyler L., Ronald Kemker, Nathan D. Cahill, and Christopher Kanan. "New Metrics and Experimental Paradigms for Continual Learning." In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2018. http://dx.doi.org/10.1109/cvprw.2018.00273.
Повний текст джерелаAsedegbega, Jerome, Oladayo Ayinde, and Alexander Nwakanma. "Application of Machine Learniing For Reservoir Facies Classification in Port Field, Offshore Niger Delta." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/207163-ms.
Повний текст джерелаPribeanu, Costin, and Vincentas Lamanauskas. "USEFULNESS OF FACEBOOK FOR STUDENTS: ANALYSIS OF UNIVERSITY PROFILE DIFFERENCES FROM A MULTIDIMENSIONAL PERSPECTIVE." In eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-170.
Повний текст джерелаDos Santos, Fernando Pereira, and Moacir Antonelli Ponti. "Features transfer learning for image and video recognition tasks." In Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sibgrapi.est.2020.12980.
Повний текст джерелаAlbeanu, Grigore, and Marin Vlada. "NEUTROSOPHIC APPROACHES IN E-LEARNING ASSESSMENT." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-208.
Повний текст джерелаGimenez, Paulo Jose de Alcantara, Marcelo De Oliveira Costa Machado, Cleber Pinelli Pinelli, and Sean Wolfgand Matsui Siqueira. "Investigating the learning perspective of Searching as Learning, a review of the state of the art." In Simpósio Brasileiro de Informática na Educação. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/cbie.sbie.2020.302.
Повний текст джерелаZheng, Meng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, and Ziyan Wu. "Visual Similarity Attention." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/241.
Повний текст джерелаЗвіти організацій з теми "Metric learning paradigm"
Perdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, September 2021. http://dx.doi.org/10.46337/210930.
Повний текст джерела