Статті в журналах з теми "ENSEMBLE LEARNING TECHNIQUE"
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ACOSTA-MENDOZA, NIUSVEL, ALICIA MORALES-REYES, HUGO JAIR ESCALANTE, and ANDRÉS GAGO-ALONSO. "LEARNING TO ASSEMBLE CLASSIFIERS VIA GENETIC PROGRAMMING." International Journal of Pattern Recognition and Artificial Intelligence 28, no. 07 (October 14, 2014): 1460005. http://dx.doi.org/10.1142/s0218001414600052.
Повний текст джерелаReddy, S. Pavan Kumar, and U. Sesadri. "A Bootstrap Aggregating Technique on Link-Based Cluster Ensemble Approach for Categorical Data Clustering." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 8 (August 30, 2013): 1913–21. http://dx.doi.org/10.24297/ijct.v10i8.1468.
Повний текст джерелаGoyal, Jyotsana. "IMPROVING CLASSIFICATION PERFORMANCE USING ENSEMBLE LEARNING APPROACH." BSSS Journal of Computer 14, no. 1 (June 30, 2023): 63–75. http://dx.doi.org/10.51767/jc1409.
Повний текст джерелаCawood, Pieter, and Terence Van Zyl. "Evaluating State-of-the-Art, Forecasting Ensembles and Meta-Learning Strategies for Model Fusion." Forecasting 4, no. 3 (August 18, 2022): 732–51. http://dx.doi.org/10.3390/forecast4030040.
Повний текст джерелаLenin, Thingbaijam, and N. Chandrasekaran. "Learning from Imbalanced Educational Data Using Ensemble Machine Learning Algorithms." Webology 18, Special Issue 01 (April 29, 2021): 183–95. http://dx.doi.org/10.14704/web/v18si01/web18053.
Повний текст джерелаArora, Madhur, Sanjay Agrawal, and Ravindra Patel. "Machine Learning Technique for Predicting Location." International Journal of Electrical and Electronics Research 11, no. 2 (June 30, 2023): 639–45. http://dx.doi.org/10.37391/ijeer.110254.
Повний текст джерелаRahimi, Nouf, Fathy Eassa, and Lamiaa Elrefaei. "An Ensemble Machine Learning Technique for Functional Requirement Classification." Symmetry 12, no. 10 (September 25, 2020): 1601. http://dx.doi.org/10.3390/sym12101601.
Повний текст джерела., Hartono, Opim Salim Sitompul, Erna Budhiarti Nababan, Tulus ., Dahlan Abdullah, and Ansari Saleh Ahmar. "A New Diversity Technique for Imbalance Learning Ensembles." International Journal of Engineering & Technology 7, no. 2.14 (April 8, 2018): 478. http://dx.doi.org/10.14419/ijet.v7i2.11251.
Повний текст джерелаTeoh, Chin-Wei, Sin-Ban Ho, Khairi Shazwan Dollmat, and Chuie-Hong Tan. "Ensemble-Learning Techniques for Predicting Student Performance on Video-Based Learning." International Journal of Information and Education Technology 12, no. 8 (2022): 741–45. http://dx.doi.org/10.18178/ijiet.2022.12.8.1679.
Повний текст джерелаHussein, Salam Allawi, Alyaa Abduljawad Mahmood, and Emaan Oudah Oraby. "Network Intrusion Detection System Using Ensemble Learning Approaches." Webology 18, SI05 (October 30, 2021): 962–74. http://dx.doi.org/10.14704/web/v18si05/web18274.
Повний текст джерелаP A, Sadiyamole, and Dr Manju Priya S. "Heart Disease Prediction Using Ensemble Stacking Technique." International Journal of Engineering Research in Computer Science and Engineering 9, no. 8 (August 6, 2022): 19–24. http://dx.doi.org/10.36647/ijercse/09.08.art004.
Повний текст джерелаZubair Khan, Mohammad. "Hybrid Ensemble Learning Technique for Software Defect Prediction." International Journal of Modern Education and Computer Science 12, no. 1 (February 8, 2020): 1–10. http://dx.doi.org/10.5815/ijmecs.2020.01.01.
Повний текст джерелаPandey, Hemakshi, Riya Goyal, Deepali Virmani, and Charu Gupta. "Ensem_SLDR: Classification of Cybercrime using Ensemble Learning Technique." International Journal of Computer Network and Information Security 14, no. 1 (February 8, 2021): 81–90. http://dx.doi.org/10.5815/ijcnis.2022.01.07.
Повний текст джерелаAl Duhayyim, Mesfer, Sidra Abbas, Abdullah Al Hejaili, Natalia Kryvinska, Ahmad Almadhor, and Uzma Ghulam Mohammad. "An Ensemble Machine Learning Technique for Stroke Prognosis." Computer Systems Science and Engineering 47, no. 1 (2023): 413–29. http://dx.doi.org/10.32604/csse.2023.037127.
Повний текст джерелаChandra Jena, Prakash, Subhendu Kumar Pani, and Debahuti Mishra. "A novel approach to ensemble learning in distributed data mining." International Journal of Engineering & Technology 7, no. 3.3 (June 8, 2018): 233. http://dx.doi.org/10.14419/ijet.v7i2.33.14159.
Повний текст джерелаDhanwanth, Batini, Bandi Vivek, M. Abirami, Shaik Mohammad Waseem, and Challapalli Manikantaa. "Forecasting Chronic Kidney Disease Using Ensemble Machine Learning Technique." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 5s (June 1, 2023): 336–44. http://dx.doi.org/10.17762/ijritcc.v11i5s.7035.
Повний текст джерелаSun, Xiao Wei, and Hong Bo Zhou. "Research on Applied Technology in Experiments with Three Boosting Algorithms." Advanced Materials Research 908 (March 2014): 513–16. http://dx.doi.org/10.4028/www.scientific.net/amr.908.513.
Повний текст джерелаLiu, Rencheng, Saqib Ali, Syed Fakhar Bilal, Zareen Sakhawat, Azhar Imran, Abdullah Almuhaimeed, Abdulkareem Alzahrani, and Guangmin Sun. "An Intelligent Hybrid Scheme for Customer Churn Prediction Integrating Clustering and Classification Algorithms." Applied Sciences 12, no. 18 (September 18, 2022): 9355. http://dx.doi.org/10.3390/app12189355.
Повний текст джерелаShah, Shariq, Hossein Ghomeshi, Edlira Vakaj, Emmett Cooper, and Rasheed Mohammad. "An Ensemble-Learning-Based Technique for Bimodal Sentiment Analysis." Big Data and Cognitive Computing 7, no. 2 (April 30, 2023): 85. http://dx.doi.org/10.3390/bdcc7020085.
Повний текст джерелаVacchetti, Bartolomeo, and Tania Cerquitelli. "Cinematographic Shot Classification with Deep Ensemble Learning." Electronics 11, no. 10 (May 13, 2022): 1570. http://dx.doi.org/10.3390/electronics11101570.
Повний текст джерелаCui, Su, Yiliang Han, Yifei Duan, Yu Li, Shuaishuai Zhu, and Chaoyue Song. "A Two-Stage Voting-Boosting Technique for Ensemble Learning in Social Network Sentiment Classification." Entropy 25, no. 4 (March 24, 2023): 555. http://dx.doi.org/10.3390/e25040555.
Повний текст джерелаTroć, Maciej, and Olgierd Unold. "Self-adaptation of parameters in a learning classifier system ensemble machine." International Journal of Applied Mathematics and Computer Science 20, no. 1 (March 1, 2010): 157–74. http://dx.doi.org/10.2478/v10006-010-0012-8.
Повний текст джерелаChandrasekar, Jayakumar, Surendar Madhawa, and J. Sangeetha. "Data-driven disruption prediction in GOLEM Tokamak using ensemble classifiers." Journal of Intelligent & Fuzzy Systems 39, no. 6 (December 4, 2020): 8365–76. http://dx.doi.org/10.3233/jifs-189155.
Повний текст джерелаRhmann, Wasiur. "An Ensemble of Hybrid Search-Based Algorithms for Software Effort Prediction." International Journal of Software Science and Computational Intelligence 13, no. 3 (July 2021): 28–37. http://dx.doi.org/10.4018/ijssci.2021070103.
Повний текст джерелаLi, Xingjian, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, and Dejing Dou. "“In-Network Ensemble”: Deep Ensemble Learning with Diversified Knowledge Distillation." ACM Transactions on Intelligent Systems and Technology 12, no. 5 (October 31, 2021): 1–19. http://dx.doi.org/10.1145/3473464.
Повний текст джерелаAdamu, Yusuf Aliyu. "MALARIA PREDICTION MODEL USING ADVANCED ENSEMBLE MACHINE LEARNING TECHNIQUES." Journal of Medical pharmaceutical and allied sciences 10, no. 6 (December 15, 2021): 3794–801. http://dx.doi.org/10.22270/jmpas.v10i6.1701.
Повний текст джерелаFerano, Francisco Calvin Arnel, Amalia Zahra, and Gede Putra Kusuma. "Stacking ensemble learning for optical music recognition." Bulletin of Electrical Engineering and Informatics 12, no. 5 (October 1, 2023): 3095–104. http://dx.doi.org/10.11591/eei.v12i5.5129.
Повний текст джерелаChristianah, Abikoye Oluwakemi, Benjamin Aruwa Gyunka, and Akande Noah Oluwatobi. "Optimizing Android Malware Detection Via Ensemble Learning." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 09 (June 17, 2020): 61. http://dx.doi.org/10.3991/ijim.v14i09.11548.
Повний текст джерелаMunsarif, Muhammad, Muhammad Sam’an, and Safuan Safuan. "Peer to peer lending risk analysis based on embedded technique and stacking ensemble learning." Bulletin of Electrical Engineering and Informatics 11, no. 6 (December 1, 2022): 3483–89. http://dx.doi.org/10.11591/eei.v11i6.3927.
Повний текст джерелаHamori, Hitoshi, and Shigeyuki Hamori. "Does Ensemble Learning Always Lead to Better Forecasts?" Applied Economics and Finance 7, no. 2 (February 12, 2020): 51. http://dx.doi.org/10.11114/aef.v7i2.4716.
Повний текст джерелаMahajan, Palak, Shahadat Uddin, Farshid Hajati, and Mohammad Ali Moni. "Ensemble Learning for Disease Prediction: A Review." Healthcare 11, no. 12 (June 20, 2023): 1808. http://dx.doi.org/10.3390/healthcare11121808.
Повний текст джерелаSarkar, Nipa, and Asha Rani Borah. "Predicting ESRD Risk via Supervised and Ensemble Machine Learning Technique." International Journal of Research in Advent Technology 7, no. 4 (April 10, 2019): 173–77. http://dx.doi.org/10.32622/ijrat.74201970.
Повний текст джерелаLee, Yen-Hsien, Paul Jen-Hwa Hu, Tsang-Hsiang Cheng, Te-Chia Huang, and Wei-Yao Chuang. "A preclustering-based ensemble learning technique for acute appendicitis diagnoses." Artificial Intelligence in Medicine 58, no. 2 (June 2013): 115–24. http://dx.doi.org/10.1016/j.artmed.2013.03.007.
Повний текст джерелаAlruily, Meshrif, Sameh Abd El-Ghany, Ayman Mohamed Mostafa, Mohamed Ezz, and A. A. Abd El-Aziz. "A-Tuning Ensemble Machine Learning Technique for Cerebral Stroke Prediction." Applied Sciences 13, no. 8 (April 18, 2023): 5047. http://dx.doi.org/10.3390/app13085047.
Повний текст джерелаKrasnopolsky, Vladimir M., and Ying Lin. "A Neural Network Nonlinear Multimodel Ensemble to Improve Precipitation Forecasts over Continental US." Advances in Meteorology 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/649450.
Повний текст джерелаVerma, Pratibha, Vineet Kumar Awasthi, and Sanat Kumar Sahu. "A Novel Design of Classification of Coronary Artery Disease Using Deep Learning and Data Mining Algorithms." Revue d'Intelligence Artificielle 35, no. 3 (June 30, 2021): 209–15. http://dx.doi.org/10.18280/ria.350304.
Повний текст джерелаDevi, Debashree, Suyel Namasudra, and Seifedine Kadry. "A Boosting-Aided Adaptive Cluster-Based Undersampling Approach for Treatment of Class Imbalance Problem." International Journal of Data Warehousing and Mining 16, no. 3 (July 2020): 60–86. http://dx.doi.org/10.4018/ijdwm.2020070104.
Повний текст джерелаSalunkhe, Uma R., and Suresh N. Mali. "Security Enrichment in Intrusion Detection System Using Classifier Ensemble." Journal of Electrical and Computer Engineering 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/1794849.
Повний текст джерелаTsai, Chih-Fong, and Chihli Hung. "Modeling credit scoring using neural network ensembles." Kybernetes 43, no. 7 (July 29, 2014): 1114–23. http://dx.doi.org/10.1108/k-01-2014-0016.
Повний текст джерелаTang, Ling, Wei Dai, Lean Yu, and Shouyang Wang. "A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting." International Journal of Information Technology & Decision Making 14, no. 01 (January 2015): 141–69. http://dx.doi.org/10.1142/s0219622015400015.
Повний текст джерелаAli, Abdullah Marish, Fuad A. Ghaleb, Bander Ali Saleh Al-Rimy, Fawaz Jaber Alsolami, and Asif Irshad Khan. "Deep Ensemble Fake News Detection Model Using Sequential Deep Learning Technique." Sensors 22, no. 18 (September 15, 2022): 6970. http://dx.doi.org/10.3390/s22186970.
Повний текст джерелаNamoun, Abdallah, Burhan Rashid Hussein, Ali Tufail, Ahmed Alrehaili, Toqeer Ali Syed, and Oussama BenRhouma. "An Ensemble Learning Based Classification Approach for the Prediction of Household Solid Waste Generation." Sensors 22, no. 9 (May 5, 2022): 3506. http://dx.doi.org/10.3390/s22093506.
Повний текст джерелаLi, Kai, and Hong Tao Gao. "A Subgraph-Based Selective Classifier Ensemble Algorithm." Advanced Materials Research 219-220 (March 2011): 261–64. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.261.
Повний текст джерелаSrınıvasa Rao, B. "A New Ensenble Learning based Optimal Prediction Model for Cardiovascular Diseases." E3S Web of Conferences 309 (2021): 01007. http://dx.doi.org/10.1051/e3sconf/202130901007.
Повний текст джерелаHashim, Dhurgham Kadhim, and Lamia Abed Noor Muhammed. "Performance of K-means algorithm based an ensemble learning." Bulletin of Electrical Engineering and Informatics 11, no. 1 (February 1, 2022): 575–80. http://dx.doi.org/10.11591/eei.v11i1.3550.
Повний текст джерелаLiu, Kun-Hong, Muchenxuan Tong, Shu-Tong Xie, and Vincent To Yee Ng. "Genetic Programming Based Ensemble System for Microarray Data Classification." Computational and Mathematical Methods in Medicine 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/193406.
Повний текст джерелаAhmed, Kanwal, Muhammad Imran Nadeem, Dun Li, Zhiyun Zheng, Nouf Al-Kahtani, Hend Khalid Alkahtani, Samih M. Mostafa, and Orken Mamyrbayev. "Contextually Enriched Meta-Learning Ensemble Model for Urdu Sentiment Analysis." Symmetry 15, no. 3 (March 3, 2023): 645. http://dx.doi.org/10.3390/sym15030645.
Повний текст джерелаAli, Muhammad Danish, Adnan Saleem, Hubaib Elahi, Muhammad Amir Khan, Muhammad Ijaz Khan, Muhammad Mateen Yaqoob, Umar Farooq Khattak, and Amal Al-Rasheed. "Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks." Diagnostics 13, no. 13 (June 30, 2023): 2242. http://dx.doi.org/10.3390/diagnostics13132242.
Повний текст джерелаShamsuddin, Siti Nurasyikin, Noriszura Ismail, and R. Nur-Firyal. "Life Insurance Prediction and Its Sustainability Using Machine Learning Approach." Sustainability 15, no. 13 (July 7, 2023): 10737. http://dx.doi.org/10.3390/su151310737.
Повний текст джерелаTama, Bayu Adhi, and Marco Comuzzi. "Leveraging a Heterogeneous Ensemble Learning for Outcome-Based Predictive Monitoring Using Business Process Event Logs." Electronics 11, no. 16 (August 15, 2022): 2548. http://dx.doi.org/10.3390/electronics11162548.
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