Artykuły w czasopismach na temat „Online ensemble regression”
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Liu, Yang, Bo He, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian i Amaury Lendasse. "Particle Swarm Optimization Based Selective Ensemble of Online Sequential Extreme Learning Machine". Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/504120.
Pełny tekst źródłaRahmawati, Eka, i Candra Agustina. "Implementasi Teknik Bagging untuk Peningkatan Kinerja J48 dan Logistic Regression dalam Prediksi Minat Pembelian Online". Jurnal Teknologi Informasi dan Terapan 7, nr 1 (9.06.2020): 16–19. http://dx.doi.org/10.25047/jtit.v7i1.123.
Pełny tekst źródłaHansrajh, Arvin, Timothy T. Adeliyi i Jeanette Wing. "Detection of Online Fake News Using Blending Ensemble Learning". Scientific Programming 2021 (28.07.2021): 1–10. http://dx.doi.org/10.1155/2021/3434458.
Pełny tekst źródłaZhang, Junbo, C. Y. Chung i Lin Guan. "Noise Effect and Noise-Assisted Ensemble Regression in Power System Online Sensitivity Identification". IEEE Transactions on Industrial Informatics 13, nr 5 (październik 2017): 2302–10. http://dx.doi.org/10.1109/tii.2017.2671351.
Pełny tekst źródłaAzeez, Nureni Ayofe, i Emad Fadhal. "Classification of Virtual Harassment on Social Networks Using Ensemble Learning Techniques". Applied Sciences 13, nr 7 (4.04.2023): 4570. http://dx.doi.org/10.3390/app13074570.
Pełny tekst źródłaBodyanskiy, Ye V., Kh V. Lipianina-Honcharenko i A. O. Sachenko. "ENSEMBLE OF ADAPTIVE PREDICTORS FOR MULTIVARIATE NONSTATIONARY SEQUENCES AND ITS ONLINE LEARNING". Radio Electronics, Computer Science, Control, nr 4 (2.01.2024): 91. http://dx.doi.org/10.15588/1607-3274-2023-4-9.
Pełny tekst źródłaR, Chitra A., i Dr Arjun B. C. "Performance Analysis of Regression Algorithms for Used Car Price Prediction: KNIME Analytics Platform". International Journal for Research in Applied Science and Engineering Technology 11, nr 2 (28.02.2023): 1324–31. http://dx.doi.org/10.22214/ijraset.2023.49180.
Pełny tekst źródłaSetiawan, Yahya, Jondri Jondri i Widi Astuti. "Twitter Sentiment Analysis on Online Transportation in Indonesia Using Ensemble Stacking". JURNAL MEDIA INFORMATIKA BUDIDARMA 6, nr 3 (25.07.2022): 1452. http://dx.doi.org/10.30865/mib.v6i3.4359.
Pełny tekst źródłade Almeida, Ricardo, Yee Mey Goh, Radmehr Monfared, Maria Teresinha Arns Steiner i Andrew West. "An ensemble based on neural networks with random weights for online data stream regression". Soft Computing 24, nr 13 (9.11.2019): 9835–55. http://dx.doi.org/10.1007/s00500-019-04499-x.
Pełny tekst źródłaKothapalli. Mandakini, Et al. "Ensemble Learning for fraud detection in Online Payment System". International Journal on Recent and Innovation Trends in Computing and Communication 11, nr 10 (2.11.2023): 1070–76. http://dx.doi.org/10.17762/ijritcc.v11i10.8626.
Pełny tekst źródłaPutri, Anastasia Kinanti, i Hari Suparwito. "Uji Algoritma Stacking Ensemble Classifier pada Kemampuan Adaptasi Mahasiswa Baru dalam Pembelajaran Online". KONSTELASI: Konvergensi Teknologi dan Sistem Informasi 3, nr 1 (7.06.2023): 1–12. http://dx.doi.org/10.24002/konstelasi.v3i1.7009.
Pełny tekst źródłaZheng, Shuihua, Kaixin Liu, Yili Xu, Hao Chen, Xuelei Zhang i Yi Liu. "Robust Soft Sensor with Deep Kernel Learning for Quality Prediction in Rubber Mixing Processes". Sensors 20, nr 3 (27.01.2020): 695. http://dx.doi.org/10.3390/s20030695.
Pełny tekst źródłaLalloué, Benoît, Jean-Marie Monnez i Eliane Albuisson. "Construction and Update of an Online Ensemble Score Involving Linear Discriminant Analysis and Logistic Regression". Applied Mathematics 13, nr 02 (2022): 228–42. http://dx.doi.org/10.4236/am.2022.132018.
Pełny tekst źródłaUdayana, I. Putu Agus Eka Darma, Ni Putu Eka Kherismawati i I. Gede Iwan Sudipa. "Detection of Student Drowsiness Using Ensemble Regression Trees in Online Learning During a COVID-19 Pandemic". Telematika 19, nr 2 (30.06.2022): 229. http://dx.doi.org/10.31315/telematika.v19i2.7044.
Pełny tekst źródłaLee, Sangjae, i Joon Yeon Choeh. "Exploring the influence of online word-of-mouth on hotel booking prices: insights from regression and ensemble-based machine learning methods". Data Science in Finance and Economics 4, nr 1 (2024): 65–82. http://dx.doi.org/10.3934/dsfe.2024003.
Pełny tekst źródłaKadam, Aishwarya. "WEB MINING TO DETECT ONLINE SPREAD OF TERRORISM". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, nr 04 (21.04.2024): 1–5. http://dx.doi.org/10.55041/ijsrem31243.
Pełny tekst źródłaSaleh Hussein, Ameer, Rihab Salah Khairy, Shaima Miqdad Mohamed Najeeb i Haider Th Salim Alrikabi. "Credit Card Fraud Detection Using Fuzzy Rough Nearest Neighbor and Sequential Minimal Optimization with Logistic Regression". International Journal of Interactive Mobile Technologies (iJIM) 15, nr 05 (16.03.2021): 24. http://dx.doi.org/10.3991/ijim.v15i05.17173.
Pełny tekst źródłaJin, Huaiping, Xiangguang Chen, Li Wang, Kai Yang i Lei Wu. "Adaptive Soft Sensor Development Based on Online Ensemble Gaussian Process Regression for Nonlinear Time-Varying Batch Processes". Industrial & Engineering Chemistry Research 54, nr 30 (28.07.2015): 7320–45. http://dx.doi.org/10.1021/acs.iecr.5b01495.
Pełny tekst źródłaJin, Huaiping, Xiangguang Chen, Li Wang, Kai Yang i Lei Wu. "Dual learning-based online ensemble regression approach for adaptive soft sensor modeling of nonlinear time-varying processes". Chemometrics and Intelligent Laboratory Systems 151 (luty 2016): 228–44. http://dx.doi.org/10.1016/j.chemolab.2016.01.009.
Pełny tekst źródłaZhou, Zhiyu, Xu Gao, Jianxin Zhang, Zefei Zhu i Xudong Hu. "A novel hybrid model using the rotation forest-based differential evolution online sequential extreme learning machine for illumination correction of dyed fabrics". Textile Research Journal 89, nr 7 (20.03.2018): 1180–97. http://dx.doi.org/10.1177/0040517518764020.
Pełny tekst źródłaBokolo, Biodoumoye George, i Qingzhong Liu. "Advanced Algorithmic Approaches for Scam Profile Detection on Instagram". Electronics 13, nr 8 (19.04.2024): 1571. http://dx.doi.org/10.3390/electronics13081571.
Pełny tekst źródłaBudiman, Arif, Mohamad Ivan Fanany i Chan Basaruddin. "Adaptive Online Sequential ELM for Concept Drift Tackling". Computational Intelligence and Neuroscience 2016 (2016): 1–17. http://dx.doi.org/10.1155/2016/8091267.
Pełny tekst źródłaKaneko, Hiromasa, i Kimito Funatsu. "Adaptive soft sensor based on online support vector regression and Bayesian ensemble learning for various states in chemical plants". Chemometrics and Intelligent Laboratory Systems 137 (październik 2014): 57–66. http://dx.doi.org/10.1016/j.chemolab.2014.06.008.
Pełny tekst źródłaSantoso, Dwi Budi, Aliyatul Munna i Dewi Handayani Untari Ningsih. "Improved playstore review sentiment classification accuracy with stacking ensemble". Journal of Soft Computing Exploration 5, nr 1 (18.03.2024): 38–45. http://dx.doi.org/10.52465/joscex.v5i1.247.
Pełny tekst źródłaAsad, Rimsha, Saud Altaf, Shafiq Ahmad, Haitham Mahmoud, Shamsul Huda i Sofia Iqbal. "Machine Learning-Based Hybrid Ensemble Model Achieving Precision Education for Online Education Amid the Lockdown Period of COVID-19 Pandemic in Pakistan". Sustainability 15, nr 6 (19.03.2023): 5431. http://dx.doi.org/10.3390/su15065431.
Pełny tekst źródłaPacol, Caren Ambat. "Sentiment Analysis of Students’ Feedback on Faculty Online Teaching Performance Using Machine Learning Techniques". WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 21 (19.02.2024): 65–76. http://dx.doi.org/10.37394/23209.2024.21.7.
Pełny tekst źródłaGiamarelos, Nikolaos, Myron Papadimitrakis, Marios Stogiannos, Elias N. Zois, Nikolaos-Antonios I. Livanos i Alex Alexandridis. "A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons". Sensors 23, nr 12 (8.06.2023): 5436. http://dx.doi.org/10.3390/s23125436.
Pełny tekst źródłaGaikwad, D. P., Vismita Nagrale i M. P. Bauskar. "Ensemble of Learner for Network Intrusion Detection System". Journal of Network Security Computer Networks 9, nr 1 (6.04.2023): 25–34. http://dx.doi.org/10.46610/jonscn.2023.v09i01.004.
Pełny tekst źródłaJin, Huaiping, Jiangang Li, Meng Wang, Bin Qian, Biao Yang, Zheng Li i Lixian Shi. "Ensemble Just-In-Time Learning-Based Soft Sensor for Mooney Viscosity Prediction in an Industrial Rubber Mixing Process". Advances in Polymer Technology 2020 (27.03.2020): 1–14. http://dx.doi.org/10.1155/2020/6575326.
Pełny tekst źródłaFayaz, Muhammad, Atif Khan, Javid Ur Rahman, Abdullah Alharbi, M. Irfan Uddin i Bader Alouffi. "Ensemble Machine Learning Model for Classification of Spam Product Reviews". Complexity 2020 (17.12.2020): 1–10. http://dx.doi.org/10.1155/2020/8857570.
Pełny tekst źródłaOchola, Dennis, Bastiaen Boekelo, Gerrie W. J. van de Ven, Godfrey Taulya, Jerome Kubiriba, Piet J. A. van Asten i Ken E. Giller. "Mapping spatial distribution and geographic shifts of East African highland banana (Musa spp.) in Uganda". PLOS ONE 17, nr 2 (17.02.2022): e0263439. http://dx.doi.org/10.1371/journal.pone.0263439.
Pełny tekst źródłaAslam, Naila, Kewen Xia, Furqan Rustam, Ernesto Lee i Imran Ashraf. "Self voting classification model for online meeting app review sentiment analysis and topic modeling". PeerJ Computer Science 8 (15.12.2022): e1141. http://dx.doi.org/10.7717/peerj-cs.1141.
Pełny tekst źródłaYang, Kai, Huaiping Jin, Xiangguang Chen, Jiayu Dai, Li Wang i Dongxiang Zhang. "Soft sensor development for online quality prediction of industrial batch rubber mixing process using ensemble just-in-time Gaussian process regression models". Chemometrics and Intelligent Laboratory Systems 155 (lipiec 2016): 170–82. http://dx.doi.org/10.1016/j.chemolab.2016.04.009.
Pełny tekst źródłaKhozouie, Nasim, Omid Rahmani Seryasat i Sadegh Moshrefzadeh. "Prediction of Diabetes using Supervised Learning Approach". Health Nexus 2, nr 2 (2024): 103–11. http://dx.doi.org/10.61838/kman.hn.2.2.12.
Pełny tekst źródłaPradeep K V, Rajarajeshwari S, Sujay Doshi, D. Yuvaraj, Nachiyappan S,. "Ensemble Learning-Based Browser Extension for Mitigating Cyber Attacks Carried out using Malicious Short URLs". Journal of Electrical Systems 20, nr 3s (4.04.2024): 158–69. http://dx.doi.org/10.52783/jes.1264.
Pełny tekst źródłaSanthiya, S., i C. S. KanimozhiSelvi. "A study on dyslexia detection using machine learning techniques for checklist, questionnaire and online game based datasets". Applied and Computational Engineering 5, nr 1 (14.06.2023): 837–42. http://dx.doi.org/10.54254/2755-2721/5/20230722.
Pełny tekst źródłaAbidi, Syed Muhammad Raza, Wu Zhang, Saqib Ali Haidery, Sanam Shahla Rizvi, Rabia Riaz, Hu Ding i Se Jin Kwon. "Educational Sustainability through Big Data Assimilation to Quantify Academic Procrastination Using Ensemble Classifiers". Sustainability 12, nr 15 (28.07.2020): 6074. http://dx.doi.org/10.3390/su12156074.
Pełny tekst źródłaOtorokpo, Emakpor Augustine, Margaret Dumebi Okpor, Rume Elizabeth Yoro, Success Endurance Brizimor, Ayo Michael Ifioko, Dickson Abiodun Obasuyi, Chris Chukwufunaya Odiakaose i in. "DaBO-BoostE: Enhanced Data Balancing via Oversampling Technique for a Boosting Ensemble in Card-Fraud Detection". Advances in Multidisciplinary & Scientific Research Journal Publications 12 (2024): 45–66. http://dx.doi.org/10.22624/aims/maths/v12n2p4.
Pełny tekst źródłaAlajali, Walaa, Wei Zhou, Sheng Wen i Yu Wang. "Intersection Traffic Prediction Using Decision Tree Models". Symmetry 10, nr 9 (7.09.2018): 386. http://dx.doi.org/10.3390/sym10090386.
Pełny tekst źródłaIsiaka, Dauda Olorunkemi, Joshua Babatunde Agbogun i Taiwo Kolajo. "A Framework for Predictive - Diagnosis of Prevalent Illness among University Students". Journal of Applied Artificial Intelligence 3, nr 2 (31.12.2022): 24–38. http://dx.doi.org/10.48185/jaai.v3i2.667.
Pełny tekst źródłaLee, Sangjae, i Joon Yeon Choeh. "Movie Production Efficiency Moderating between Online Word-of-Mouth and Subsequent Box Office Revenue". Sustainability 12, nr 16 (14.08.2020): 6602. http://dx.doi.org/10.3390/su12166602.
Pełny tekst źródłaAlqahtani, Hassan, i Asok Ray. "Neural Network-Based Automated Assessment of Fatigue Damage in Mechanical Structures". Machines 8, nr 4 (16.12.2020): 85. http://dx.doi.org/10.3390/machines8040085.
Pełny tekst źródłaChen, Yifei, Zhenyu Jia, Dan Mercola i Xiaohui Xie. "A Gradient Boosting Algorithm for Survival Analysis via Direct Optimization of Concordance Index". Computational and Mathematical Methods in Medicine 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/873595.
Pełny tekst źródłaAli, Hashir, Ehtesham Hashmi, Sule Yayilgan Yildirim i Sarang Shaikh. "Analyzing Amazon Products Sentiment: A Comparative Study of Machine and Deep Learning, and Transformer-Based Techniques". Electronics 13, nr 7 (31.03.2024): 1305. http://dx.doi.org/10.3390/electronics13071305.
Pełny tekst źródłaYin, Zhijun, Lina M. Sulieman i Bradley A. Malin. "A systematic literature review of machine learning in online personal health data". Journal of the American Medical Informatics Association 26, nr 6 (25.03.2019): 561–76. http://dx.doi.org/10.1093/jamia/ocz009.
Pełny tekst źródłaMassey, Alexander, Corentin Boennec, Claudia Ximena Restrepo-Ortiz, Christophe Blanchet, Samuel Alizon i Mircea T. Sofonea. "Real-time forecasting of COVID-19-related hospital strain in France using a non-Markovian mechanistic model". PLOS Computational Biology 20, nr 5 (17.05.2024): e1012124. http://dx.doi.org/10.1371/journal.pcbi.1012124.
Pełny tekst źródłaZhang, Yanju, Ruopeng Xie, Jiawei Wang, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Geoffrey I. Webb, Kuo-Chen Chou i Jiangning Song. "Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework". Briefings in Bioinformatics 20, nr 6 (24.08.2018): 2185–99. http://dx.doi.org/10.1093/bib/bby079.
Pełny tekst źródłaWang, Peng, i Zhengliang Xu. "A Novel Consumer Purchase Behavior Recognition Method Using Ensemble Learning Algorithm". Mathematical Problems in Engineering 2020 (19.12.2020): 1–10. http://dx.doi.org/10.1155/2020/6673535.
Pełny tekst źródłaCorrea, Ramon Santos, Patricia Teixeira Sampaio, Rafael Utsch Braga, Victor Alberto Lambertucci, Gustavo Matheus Almeida i Antonio Padua Braga. "Prediction of Mechanical Properties of Seamless Steel Tubes Using Artificial Neural Networks". International Journal of Computational Intelligence and Applications 19, nr 04 (15.10.2020): 2050028. http://dx.doi.org/10.1142/s1469026820500285.
Pełny tekst źródłaAlarfaj, Fawaz Khaled, i Jawad Abbas Khan. "Deep Dive into Fake News Detection: Feature-Centric Classification with Ensemble and Deep Learning Methods". Algorithms 16, nr 11 (3.11.2023): 507. http://dx.doi.org/10.3390/a16110507.
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