Artículos de revistas sobre el tema "MACHINE ALGORITHMS"
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Mishra, Akshansh y Apoorv Vats. "Supervised Machine Learning Classification Algorithms for Detection of Fracture Location in Dissimilar Friction Stir Welded Joints". Frattura ed Integrità Strutturale 15, n.º 58 (25 de septiembre de 2021): 242–53. http://dx.doi.org/10.3221/igf-esis.58.18.
Texto completoBenbouzid, Bilel. "Unfolding Algorithms". Science & Technology Studies 32, n.º 4 (13 de diciembre de 2019): 119–36. http://dx.doi.org/10.23987/sts.66156.
Texto completoHE, YONG, SHUGUANG HAN y YIWEI JIANG. "ONLINE ALGORITHMS FOR SCHEDULING WITH MACHINE ACTIVATION COST". Asia-Pacific Journal of Operational Research 24, n.º 02 (abril de 2007): 263–77. http://dx.doi.org/10.1142/s0217595907001231.
Texto completoTURAN, SELIN CEREN y MEHMET ALI CENGIZ. "ENSEMBLE LEARNING ALGORITHMS". Journal of Science and Arts 22, n.º 2 (30 de junio de 2022): 459–70. http://dx.doi.org/10.46939/j.sci.arts-22.2-a18.
Texto completoLing, Qingyang. "Machine learning algorithms review". Applied and Computational Engineering 4, n.º 1 (14 de junio de 2023): 91–98. http://dx.doi.org/10.54254/2755-2721/4/20230355.
Texto completoSameer, S. K. L. y P. Sriramya. "Improving the Efficiency by Novel Feature Extraction Technique Using Decision Tree Algorithm Comparing with SVM Classifier Algorithm for Predicting Heart Disease". Alinteri Journal of Agriculture Sciences 36, n.º 1 (29 de junio de 2021): 713–20. http://dx.doi.org/10.47059/alinteri/v36i1/ajas21100.
Texto completoMeena, Munesh y Ruchi Sehrawat. "Breakdown of Machine Learning Algorithms". Recent Trends in Artificial Intelligence & it's Applications 1, n.º 3 (16 de octubre de 2022): 25–29. http://dx.doi.org/10.46610/rtaia.2022.v01i03.005.
Texto completoMaitre, Julien, Sébastien Gaboury, Bruno Bouchard y Abdenour Bouzouane. "A Black-Box Model for Estimation of the Induction Machine Parameters Based on Stochastic Algorithms". International Journal of Monitoring and Surveillance Technologies Research 3, n.º 3 (julio de 2015): 44–67. http://dx.doi.org/10.4018/ijmstr.2015070103.
Texto completoCastelo, Noah, Maarten W. Bos y Donald Lehmann. "Let the Machine Decide: When Consumers Trust or Distrust Algorithms". NIM Marketing Intelligence Review 11, n.º 2 (1 de noviembre de 2019): 24–29. http://dx.doi.org/10.2478/nimmir-2019-0012.
Texto completoK.M., Umamaheswari. "Road Accident Perusal Using Machine Learning Algorithms". International Journal of Psychosocial Rehabilitation 24, n.º 5 (31 de marzo de 2020): 1676–82. http://dx.doi.org/10.37200/ijpr/v24i5/pr201839.
Texto completoNair, Dr Prabha Shreeraj. "Analyzing Titanic Disaster using Machine Learning Algorithms". International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (31 de diciembre de 2017): 410–16. http://dx.doi.org/10.31142/ijtsrd7003.
Texto completoGupta, Monica. "A Comparative Study on Supervised Machine Learning Algorithm". International Journal for Research in Applied Science and Engineering Technology 10, n.º 1 (31 de enero de 2022): 1023–28. http://dx.doi.org/10.22214/ijraset.2022.39980.
Texto completoZhang, Ruiting y Zhijian Zhou. "A Fuzzy Least Squares Support Tensor Machines in Machine Learning". International Journal of Emerging Technologies in Learning (iJET) 10, n.º 8 (14 de diciembre de 2015): 4. http://dx.doi.org/10.3991/ijet.v10i8.5203.
Texto completoYuan, Hongyuan, Jingan Liu, Yu Zhou y Hailong Pei. "State of Charge Estimation of Lithium Battery Based on Integrated Kalman Filter Framework and Machine Learning Algorithm". Energies 16, n.º 5 (23 de febrero de 2023): 2155. http://dx.doi.org/10.3390/en16052155.
Texto completoRostami, Soheil, Sajad Alabadi, Soheir Noori, Hayder Ahmed Shihab, Kamran Arshad y Predrag Rapajic. "Spectrum Assignment Algorithm for Cognitive Machine-to-Machine Networks". Mobile Information Systems 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/3282505.
Texto completoYu, Yang y Ping Liu. "Evaluation of Cutting Error in Five-Axis Free-Form Surface Milling for Table-Tilting Type Machine". Advanced Materials Research 472-475 (febrero de 2012): 2125–28. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.2125.
Texto completoG, Mr Aniket. "A Comparative Study: Machine Learning Algorithms for Parkinson’s Disease Analysis". International Journal for Research in Applied Science and Engineering Technology 11, n.º 5 (31 de mayo de 2023): 6275–84. http://dx.doi.org/10.22214/ijraset.2023.53175.
Texto completoGrzymala-Busse, Jerzy W. "Selected Algorithms of Machine Learning from Examples". Fundamenta Informaticae 18, n.º 2-4 (1 de abril de 1993): 193–207. http://dx.doi.org/10.3233/fi-1993-182-408.
Texto completoAbbas, Muhammad Adeel y Zeshan Iqbal. "Double Auction used Artificial Neural Network in Cloud Computing". Vol 4 Issue 5 4, n.º 5 (30 de junio de 2022): 65–76. http://dx.doi.org/10.33411/ijist/2022040506.
Texto completoLiu, Xiaonan, Haoshan Xie, Zhengyu Liu y Chenyan Zhao. "Survey on the Improvement and Application of HHL Algorithm". Journal of Physics: Conference Series 2333, n.º 1 (1 de agosto de 2022): 012023. http://dx.doi.org/10.1088/1742-6596/2333/1/012023.
Texto completoKumar, Awnish. "Machine Learning Based Heat Transfer Optimization of Nano-fluid flow in a Helically Coiled Pipe". International Journal for Research in Applied Science and Engineering Technology 9, n.º 12 (31 de diciembre de 2021): 1717–31. http://dx.doi.org/10.22214/ijraset.2021.39576.
Texto completoTodorov, Dimitar Georgiev y Karova Milena. "Appropriate Conversion of Machine Learning Data". ANNUAL JOURNAL OF TECHNICAL UNIVERSITY OF VARNA, BULGARIA 6, n.º 2 (31 de diciembre de 2022): 63–76. http://dx.doi.org/10.29114/ajtuv.vol6.iss2.262.
Texto completoBarbosa, Flávio, Arthur Vidal y Flávio Mello. "Machine Learning for Cryptographic Algorithm Identification". Journal of Information Security and Cryptography (Enigma) 3, n.º 1 (3 de septiembre de 2016): 3. http://dx.doi.org/10.17648/enig.v3i1.55.
Texto completoLi, Chunjiang. "Application of Machine Learning Algorithms in the Stock Market Analysis". Highlights in Business, Economics and Management 10 (9 de mayo de 2023): 352–58. http://dx.doi.org/10.54097/hbem.v10i.8119.
Texto completoGolden, Richard M. "Adaptive Learning Algorithm Convergence in Passive and Reactive Environments". Neural Computation 30, n.º 10 (octubre de 2018): 2805–32. http://dx.doi.org/10.1162/neco_a_01117.
Texto completoGrgić-Hlača, Nina, Claude Castelluccia y Krishna P. Gummadi. "Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 10, n.º 1 (14 de octubre de 2022): 74–88. http://dx.doi.org/10.1609/hcomp.v10i1.21989.
Texto completoThomas, Philip S., Bruno Castro da Silva, Andrew G. Barto, Stephen Giguere, Yuriy Brun y Emma Brunskill. "Preventing undesirable behavior of intelligent machines". Science 366, n.º 6468 (21 de noviembre de 2019): 999–1004. http://dx.doi.org/10.1126/science.aag3311.
Texto completoA, Ms Vidhya, Dr Parameswari R y Ms Sathya S. "Brain Tumor Classification Using Various Machine Learning Algorithms". International Journal of Research in Arts and Science 5, Special Issue (30 de agosto de 2019): 258–70. http://dx.doi.org/10.9756/bp2019.1002/25.
Texto completoZhou, Shuni, Guangxing Wu, Yehong Dong, Yuanxiang Ni, Yuheng Hao, Yunhe Jiang, Chuang Zhou y Zhiyu Tao. "Evaluations on supervised learning methods in the calibration of seven-hole pressure probes". PLOS ONE 18, n.º 1 (23 de enero de 2023): e0277672. http://dx.doi.org/10.1371/journal.pone.0277672.
Texto completoCoe, James y Mustafa Atay. "Evaluating Impact of Race in Facial Recognition across Machine Learning and Deep Learning Algorithms". Computers 10, n.º 9 (10 de septiembre de 2021): 113. http://dx.doi.org/10.3390/computers10090113.
Texto completoIdris, Syed Mohammed. "PRACTICAL CLASSIFICATION TEMPLATE FOR DATASETS IN MACHINE LEARNING". International Journal of Engineering Applied Sciences and Technology 7, n.º 10 (1 de febrero de 2023): 110–16. http://dx.doi.org/10.33564/ijeast.2023.v07i10.014.
Texto completoLiu, Guo-Sheng, Jin-Jin Li y Ying-Si Tang. "Minimizing Total Idle Energy Consumption in the Permutation Flow Shop Scheduling Problem". Asia-Pacific Journal of Operational Research 35, n.º 06 (diciembre de 2018): 1850041. http://dx.doi.org/10.1142/s0217595918500410.
Texto completoMadhumala, R. B., Harshvardhan Tiwari y Verma C. Devaraj. "Virtual Machine Placement Using Energy Efficient Particle Swarm Optimization in Cloud Datacenter". Cybernetics and Information Technologies 21, n.º 1 (1 de marzo de 2021): 62–72. http://dx.doi.org/10.2478/cait-2021-0005.
Texto completoKhan, Dr Rafiqul Zaman y Haider Allamy. "Training Algorithms for Supervised Machine Learning: Comparative Study". INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 4, n.º 3 (25 de julio de 2013): 354–60. http://dx.doi.org/10.24297/ijmit.v4i3.773.
Texto completoLi, Haoxuan, Xueyan Zhang, Ziyan Li y Chunyuan Zheng. "Overview of Machine Learning for Stock Selection Based on Multi-Factor Models". E3S Web of Conferences 214 (2020): 02047. http://dx.doi.org/10.1051/e3sconf/202021402047.
Texto completoChaulwar, Amit. "Sampling Algorithms Combination with Machine Learning for Efficient Safe Trajectory Planning". International Journal of Machine Learning and Computing 11, n.º 1 (enero de 2021): 1–11. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1007.
Texto completoSlemenšek, Jan, Iztok Fister, Jelka Geršak, Božidar Bratina, Vesna Marija van Midden, Zvezdan Pirtošek y Riko Šafarič. "Human Gait Activity Recognition Machine Learning Methods". Sensors 23, n.º 2 (9 de enero de 2023): 745. http://dx.doi.org/10.3390/s23020745.
Texto completoBrady, Eoghan S., Jonathon P. Leider, Beth A. Resnick, Y. Natalia Alfonso y David Bishai. "Machine-Learning Algorithms to Code Public Health Spending Accounts". Public Health Reports 132, n.º 3 (31 de marzo de 2017): 350–56. http://dx.doi.org/10.1177/0033354917700356.
Texto completoLi, Kai, Hui Li, Bayi Cheng y Qing Luo. "Uniform Parallel Machine Scheduling Problem with Controllable Delivery Times". Journal of Systems Science and Information 3, n.º 6 (25 de diciembre de 2015): 525–37. http://dx.doi.org/10.1515/jssi-2015-0525.
Texto completoAjani, Taiwo Samuel, Agbotiname Lucky Imoize y Aderemi A. Atayero. "An Overview of Machine Learning within Embedded and Mobile Devices–Optimizations and Applications". Sensors 21, n.º 13 (28 de junio de 2021): 4412. http://dx.doi.org/10.3390/s21134412.
Texto completoRaja, Hadi Ashraf, Karolina Kudelina, Bilal Asad, Toomas Vaimann, Ants Kallaste, Anton Rassõlkin y Huynh Van Khang. "Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines". Energies 15, n.º 24 (15 de diciembre de 2022): 9507. http://dx.doi.org/10.3390/en15249507.
Texto completoAgárdi, Anita y Károly Nehéz. "PARALLEL MACHINE SCHEDULING WITH MONTE CARLO TREE SEARCH". Acta Polytechnica 61, n.º 2 (30 de abril de 2021): 307–12. http://dx.doi.org/10.14311/ap.2021.61.0307.
Texto completoReddy, V. Sandeep Kumar, Saravanan T., N. T. Velusudha y T. Sunder Selwyn. "Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy Distribution". E3S Web of Conferences 387 (2023): 02005. http://dx.doi.org/10.1051/e3sconf/202338702005.
Texto completoLi, Yuping. "Similar Classification Algorithm for Educational and Teaching Knowledge Based on Machine Learning". Wireless Communications and Mobile Computing 2022 (23 de mayo de 2022): 1–9. http://dx.doi.org/10.1155/2022/7222236.
Texto completoMa, Chunzhu. "Comparison of machine learning algorithms over prediction of Titanic database". Applied and Computational Engineering 5, n.º 1 (14 de junio de 2023): 340–44. http://dx.doi.org/10.54254/2755-2721/5/20230593.
Texto completoBörger, Egon y Klaus-Dieter Schewe. "A Behavioural Theory of Recursive Algorithms". Fundamenta Informaticae 177, n.º 1 (18 de diciembre de 2020): 1–37. http://dx.doi.org/10.3233/fi-2020-1978.
Texto completoŽidek, Kamil, Alexander Hošovský y Ján Dubják. "Diagnostics of Surface Errors by Embedded Vision System and its Classification by Machine Learning Algorithms". Key Engineering Materials 669 (octubre de 2015): 459–66. http://dx.doi.org/10.4028/www.scientific.net/kem.669.459.
Texto completoSmolarczyk, Milosz, Jakub Pawluk, Alicja Kotyla, Sebastian Plamowski, Katarzyna Kaminska y Krzysztof Szczypiorski. "Machine Learning Algorithms for Identifying Dependencies in OT Protocols". Energies 16, n.º 10 (12 de mayo de 2023): 4056. http://dx.doi.org/10.3390/en16104056.
Texto completoAtiyah, Oqbah Salim y Saadi Hamad Thalij. "Evaluation of COVID-19 Cases based on Classification Algorithms in Machine Learning". Webology 19, n.º 1 (20 de enero de 2022): 4878–87. http://dx.doi.org/10.14704/web/v19i1/web19326.
Texto completoTornede, Alexander, Viktor Bengs y Eyke Hüllermeier. "Machine Learning for Online Algorithm Selection under Censored Feedback". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 9 (28 de junio de 2022): 10370–80. http://dx.doi.org/10.1609/aaai.v36i9.21279.
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