Journal articles on the topic 'Learning algorithms'
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Egorova, Irina Konstantinovna. "BASIC ALGORITHMS LEARNING ALGORITHMS." Economy. Business. Computer science, no. 3 (January 1, 2016): 47–58. http://dx.doi.org/10.19075/2500-2074-2016-3-47-58.
Full textXu, Chenyang, and Benjamin Moseley. "Learning-Augmented Algorithms for Online Steiner Tree." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 8 (June 28, 2022): 8744–52. http://dx.doi.org/10.1609/aaai.v36i8.20854.
Full textLuan, Yuxuan, Junjiang He, Jingmin Yang, Xiaolong Lan, and Geying Yang. "Uniformity-Comprehensive Multiobjective Optimization Evolutionary Algorithm Based on Machine Learning." International Journal of Intelligent Systems 2023 (November 10, 2023): 1–21. http://dx.doi.org/10.1155/2023/1666735.
Full textZhang, Pingke, and Jinyu Huang. "APTM: Structurally Informative Network Representation Learning." Frontiers in Science and Engineering 3, no. 11 (November 21, 2023): 5–11. http://dx.doi.org/10.54691/fse.v3i11.5701.
Full textBottou, Léon, and Vladimir Vapnik. "Local Learning Algorithms." Neural Computation 4, no. 6 (November 1992): 888–900. http://dx.doi.org/10.1162/neco.1992.4.6.888.
Full textCoe, James, and Mustafa Atay. "Evaluating Impact of Race in Facial Recognition across Machine Learning and Deep Learning Algorithms." Computers 10, no. 9 (September 10, 2021): 113. http://dx.doi.org/10.3390/computers10090113.
Full textMu, Tong, Georgios Theocharous, David Arbour, and Emma Brunskill. "Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 7 (June 28, 2022): 7841–49. http://dx.doi.org/10.1609/aaai.v36i7.20753.
Full textYu, Binyan, and Yuanzheng Zheng. "Research on algorithms of machine learning." Applied and Computational Engineering 39, no. 1 (February 21, 2024): 277–81. http://dx.doi.org/10.54254/2755-2721/39/20230614.
Full textSun, Yuqin, Songlei Wang, Dongmei Huang, Yuan Sun, Anduo Hu, and Jinzhong Sun. "A multiple hierarchical clustering ensemble algorithm to recognize clusters arbitrarily shaped." Intelligent Data Analysis 26, no. 5 (September 5, 2022): 1211–28. http://dx.doi.org/10.3233/ida-216112.
Full textLing, Qingyang. "Machine learning algorithms review." Applied and Computational Engineering 4, no. 1 (June 14, 2023): 91–98. http://dx.doi.org/10.54254/2755-2721/4/20230355.
Full textNote, Johan, and Maaruf Ali. "Comparative Analysis of Intrusion Detection System Using Machine Learning and Deep Learning Algorithms." Annals of Emerging Technologies in Computing 6, no. 3 (July 1, 2022): 19–36. http://dx.doi.org/10.33166/aetic.2022.03.003.
Full textChristakis, Nicholas, and Dimitris Drikakis. "Unsupervised Learning of Particles Dispersion." Mathematics 11, no. 17 (August 23, 2023): 3637. http://dx.doi.org/10.3390/math11173637.
Full textZhao, Ji-chun, Shi-hong Liu, and Jun-feng Zhang. "Personalized Distance Learning System based on Sequence Analysis Algorithm." International Journal of Online Engineering (iJOE) 11, no. 7 (August 31, 2015): 33. http://dx.doi.org/10.3991/ijoe.v11i7.4764.
Full textDonghua Zhang. "Effectiveness Assessment and Optimization of Cross-Language Comparative Learning Algorithms in English Learning." Journal of Electrical Systems 20, no. 6s (April 29, 2024): 368–73. http://dx.doi.org/10.52783/jes.2657.
Full textPreethi, B. Meena, R. Gowtham, S. Aishvarya, S. Karthick, and D. G. Sabareesh. "Rainfall Prediction using Machine Learning and Deep Learning Algorithms." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 4 (November 30, 2021): 251–54. http://dx.doi.org/10.35940/ijrte.d6611.1110421.
Full textMØLLER, MARTIN. "SUPERVISED LEARNING ON LARGE REDUNDANT TRAINING SETS." International Journal of Neural Systems 04, no. 01 (March 1993): 15–25. http://dx.doi.org/10.1142/s0129065793000031.
Full textBudura, Georgeta, Corina Botoca, and Nicolae Miclău. "Competitive learning algorithms for data clustering." Facta universitatis - series: Electronics and Energetics 19, no. 2 (2006): 261–69. http://dx.doi.org/10.2298/fuee0602261b.
Full textCrandall, Jacob, Asad Ahmed, and Michael Goodrich. "Learning in Repeated Games with Minimal Information: The Effects of Learning Bias." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (August 4, 2011): 650–56. http://dx.doi.org/10.1609/aaai.v25i1.7871.
Full textTURAN, SELIN CEREN, and MEHMET ALI CENGIZ. "ENSEMBLE LEARNING ALGORITHMS." Journal of Science and Arts 22, no. 2 (June 30, 2022): 459–70. http://dx.doi.org/10.46939/j.sci.arts-22.2-a18.
Full textOmohundro, Stephen M. "Geometric learning algorithms." Physica D: Nonlinear Phenomena 42, no. 1-3 (June 1990): 307–21. http://dx.doi.org/10.1016/0167-2789(90)90085-4.
Full textSmale, Steve, and Yuan Yao. "Online Learning Algorithms." Foundations of Computational Mathematics 6, no. 2 (September 23, 2005): 145–70. http://dx.doi.org/10.1007/s10208-004-0160-z.
Full textJaved, Abbas, Hadi Larijani, Ali Ahmadinia, and Rohinton Emmanuel. "RANDOM NEURAL NETWORK LEARNING HEURISTICS." Probability in the Engineering and Informational Sciences 31, no. 4 (May 22, 2017): 436–56. http://dx.doi.org/10.1017/s0269964817000201.
Full textK.M., Umamaheswari. "Road Accident Perusal Using Machine Learning Algorithms." International Journal of Psychosocial Rehabilitation 24, no. 5 (March 31, 2020): 1676–82. http://dx.doi.org/10.37200/ijpr/v24i5/pr201839.
Full textNair, Dr Prabha Shreeraj. "Analyzing Titanic Disaster using Machine Learning Algorithms." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (December 31, 2017): 410–16. http://dx.doi.org/10.31142/ijtsrd7003.
Full textMallika, Madasu, and K. Suresh Babu. "Breast Cancer Prediction using Machine Learning Algorithms." International Journal of Science and Research (IJSR) 12, no. 10 (October 5, 2023): 1235–38. http://dx.doi.org/10.21275/sr231015173828.
Full textBalcan, Maria-Florina, Tuomas Sandholm, and Ellen Vitercik. "Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3227–34. http://dx.doi.org/10.1609/aaai.v34i04.5721.
Full textYue, Yiqun, Yang Zhou, Lijuan Xu, and Dawei Zhao. "Optimal Defense Strategy Selection Algorithm Based on Reinforcement Learning and Opposition-Based Learning." Applied Sciences 12, no. 19 (September 24, 2022): 9594. http://dx.doi.org/10.3390/app12199594.
Full textVisca, Jorge, and Javier Baliosian. "rl4dtn: Q-Learning for Opportunistic Networks." Future Internet 14, no. 12 (November 23, 2022): 348. http://dx.doi.org/10.3390/fi14120348.
Full textShivaswamy, Pannaga, and Thorsten Joachims. "Coactive Learning." Journal of Artificial Intelligence Research 53 (May 27, 2015): 1–40. http://dx.doi.org/10.1613/jair.4539.
Full textGrzymala-Busse, Jerzy W. "Selected Algorithms of Machine Learning from Examples." Fundamenta Informaticae 18, no. 2-4 (April 1, 1993): 193–207. http://dx.doi.org/10.3233/fi-1993-182-408.
Full textZhou, Zhili, Zihao Yin, Ruohan Meng, and Fei Peng. "Extensible Steganalysis via Continual Learning." Fractal and Fractional 6, no. 12 (November 28, 2022): 708. http://dx.doi.org/10.3390/fractalfract6120708.
Full textJabar, Abdul Aziz, and Andi Sofyan Anas. "Aplikasi Belajar Interaktif Algoritma Sorting Berbasis Desktop." JTIM : Jurnal Teknologi Informasi dan Multimedia 1, no. 1 (May 10, 2019): 23–29. http://dx.doi.org/10.35746/jtim.v1i1.10.
Full textPriyadarshini, Ishaani. "Dendritic Growth Optimization: A Novel Nature-Inspired Algorithm for Real-World Optimization Problems." Biomimetics 9, no. 3 (February 21, 2024): 130. http://dx.doi.org/10.3390/biomimetics9030130.
Full textLiang, Yuan. "Fairness-Aware Dynamic Ride-Hailing Matching Based on Reinforcement Learning." Electronics 13, no. 4 (February 16, 2024): 775. http://dx.doi.org/10.3390/electronics13040775.
Full textTodorov, Dimitar Georgiev, and Karova Milena. "Appropriate Conversion of Machine Learning Data." ANNUAL JOURNAL OF TECHNICAL UNIVERSITY OF VARNA, BULGARIA 6, no. 2 (December 31, 2022): 63–76. http://dx.doi.org/10.29114/ajtuv.vol6.iss2.262.
Full textBarbosa, Flávio, Arthur Vidal, and Flávio Mello. "Machine Learning for Cryptographic Algorithm Identification." Journal of Information Security and Cryptography (Enigma) 3, no. 1 (September 3, 2016): 3. http://dx.doi.org/10.17648/enig.v3i1.55.
Full textBaldi, Pierre, and Yves Chauvin. "Smooth On-Line Learning Algorithms for Hidden Markov Models." Neural Computation 6, no. 2 (March 1994): 307–18. http://dx.doi.org/10.1162/neco.1994.6.2.307.
Full textYuan, Hongyuan, Jingan Liu, Yu Zhou, and Hailong Pei. "State of Charge Estimation of Lithium Battery Based on Integrated Kalman Filter Framework and Machine Learning Algorithm." Energies 16, no. 5 (February 23, 2023): 2155. http://dx.doi.org/10.3390/en16052155.
Full textKuo, Cathleen, Nolan Brown, and Julian Gendreau. "BIOS-04. THE ROLE OF MACHINE LEARNING, PREDICTIVE MODELING, AND DEEP LEARNING IN ASSESSING METABOLIC BIOMARKERS TO IMPROVE PROGNOSTICATION IN GLIOBLASTOMA MULTIFORME." Neuro-Oncology 25, Supplement_5 (November 1, 2023): v21. http://dx.doi.org/10.1093/neuonc/noad179.0081.
Full textLe, Hai S., Brendan Juba, and Roni Stern. "Learning Safe Action Models with Partial Observability." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 18 (March 24, 2024): 20159–67. http://dx.doi.org/10.1609/aaai.v38i18.29995.
Full textZou, Shujie, Chiawei Chu, Ning Shen, and Jia Ren. "Healthcare Cost Prediction Based on Hybrid Machine Learning Algorithms." Mathematics 11, no. 23 (November 27, 2023): 4778. http://dx.doi.org/10.3390/math11234778.
Full textMa, Yindi, Yanhai Li, and Longquan Yong. "Teaching–Learning-Based Optimization Algorithm with Stochastic Crossover Self-Learning and Blended Learning Model and Its Application." Mathematics 12, no. 10 (May 20, 2024): 1596. http://dx.doi.org/10.3390/math12101596.
Full textSigurdson, Devon, and Vadim Bulitko. "Deep Learning for Real-Time Heuristic Search Algorithm Selection." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 13, no. 1 (June 25, 2021): 108–14. http://dx.doi.org/10.1609/aiide.v13i1.12927.
Full textShah, Kulin, and Naresh Manwani. "Online Active Learning of Reject Option Classifiers." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 5652–59. http://dx.doi.org/10.1609/aaai.v34i04.6019.
Full textHuai, Mengdi, Di Wang, Chenglin Miao, Jinhui Xu, and Aidong Zhang. "Pairwise Learning with Differential Privacy Guarantees." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 694–701. http://dx.doi.org/10.1609/aaai.v34i01.5411.
Full textKhan, Dr Rafiqul Zaman, and Haider Allamy. "Training Algorithms for Supervised Machine Learning: Comparative Study." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 4, no. 3 (July 25, 2013): 354–60. http://dx.doi.org/10.24297/ijmit.v4i3.773.
Full textOlari, Viktoriya, Kostadin Cvejoski, and Øyvind Eide. "Introduction to Machine Learning with Robots and Playful Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (May 18, 2021): 15630–39. http://dx.doi.org/10.1609/aaai.v35i17.17841.
Full textChaulwar, Amit. "Sampling Algorithms Combination with Machine Learning for Efficient Safe Trajectory Planning." International Journal of Machine Learning and Computing 11, no. 1 (January 2021): 1–11. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1007.
Full textLi, Xinyu, Xiaoguang Gao, and Chenfeng Wang. "A Novel BN Learning Algorithm Based on Block Learning Strategy." Sensors 20, no. 21 (November 7, 2020): 6357. http://dx.doi.org/10.3390/s20216357.
Full textAyuningtyas, Puji, Rahmawati Rahmawati, and Akhmad Miftahusalam. "Comparison of Machine Learning and Deep Learning Algorithms for Classification of Breast Cancer." Journal of Computer Engineering, Electronics and Information Technology 2, no. 2 (October 1, 2023): 89–98. http://dx.doi.org/10.17509/coelite.v2i2.59717.
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