Artículos de revistas sobre el tema "Machine Learning, Artificial Intelligence, Regularization Methods"
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Abidine, M’hamed Bilal y Belkacem Fergani. "Activity recognition from smartphone data using weighted learning methods". Intelligenza Artificiale 15, n.º 1 (28 de julio de 2021): 1–15. http://dx.doi.org/10.3233/ia-200059.
Texto completoFokkema, Marjolein, Dragos Iliescu, Samuel Greiff y Matthias Ziegler. "Machine Learning and Prediction in Psychological Assessment". European Journal of Psychological Assessment 38, n.º 3 (mayo de 2022): 165–75. http://dx.doi.org/10.1027/1015-5759/a000714.
Texto completoКабанихин, С. И. "Inverse Problems and Artificial Intelligence". Успехи кибернетики / Russian Journal of Cybernetics, n.º 3 (11 de octubre de 2021): 33–43. http://dx.doi.org/10.51790/2712-9942-2021-2-3-5.
Texto completoMohammad-Djafari, Ali. "Interaction between Model Based Signal and Image Processing, Machine Learning and Artificial Intelligence". Proceedings 33, n.º 1 (28 de noviembre de 2019): 16. http://dx.doi.org/10.3390/proceedings2019033016.
Texto completoDif, Nassima y Zakaria Elberrichi. "Efficient Regularization Framework for Histopathological Image Classification Using Convolutional Neural Networks." International Journal of Cognitive Informatics and Natural Intelligence 14, n.º 4 (octubre de 2020): 62–81. http://dx.doi.org/10.4018/ijcini.2020100104.
Texto completoLuo, Yong, Liancheng Yin, Wenchao Bai y Keming Mao. "An Appraisal of Incremental Learning Methods". Entropy 22, n.º 11 (22 de octubre de 2020): 1190. http://dx.doi.org/10.3390/e22111190.
Texto completoAlcin, Omer F., Abdulkadir Sengur, Jiang Qian y Melih C. Ince. "OMP-ELM: Orthogonal Matching Pursuit-Based Extreme Learning Machine for Regression". Journal of Intelligent Systems 24, n.º 1 (1 de marzo de 2015): 135–43. http://dx.doi.org/10.1515/jisys-2014-0095.
Texto completoHomayouni, Haleh y Eghbal G. Mansoori. "Manifold regularization ensemble clustering with many objectives using unsupervised extreme learning machines". Intelligent Data Analysis 25, n.º 4 (9 de julio de 2021): 847–62. http://dx.doi.org/10.3233/ida-205362.
Texto completoNayef, Bahera Hani, Siti Norul Huda Sheikh Abdullah, Rossilawati Sulaiman y Zaid Abdi Al Kareem Alyasseri. "VARIANTS OF NEURAL NETWORKS: A REVIEW". Malaysian Journal of Computer Science 35, n.º 2 (29 de abril de 2022): 158–78. http://dx.doi.org/10.22452/mjcs.vol35no2.5.
Texto completoCai, Yingfeng, Youguo He, Hai Wang, Xiaoqiang Sun, Long Chen y Haobin Jiang. "Pedestrian detection algorithm in traffic scene based on weakly supervised hierarchical deep model". International Journal of Advanced Robotic Systems 14, n.º 1 (14 de febrero de 2016): 172988141769231. http://dx.doi.org/10.1177/1729881417692311.
Texto completoAlmalki, Yassir Edrees, Abdul Qayyum, Muhammad Irfan, Noman Haider, Adam Glowacz, Fahad Mohammed Alshehri, Sharifa K. Alduraibi et al. "A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images". Healthcare 9, n.º 5 (29 de abril de 2021): 522. http://dx.doi.org/10.3390/healthcare9050522.
Texto completoSun, Zhenzhen y Yuanlong Yu. "Robust multi-class feature selection via l2,0-norm regularization minimization". Intelligent Data Analysis 26, n.º 1 (14 de enero de 2022): 57–73. http://dx.doi.org/10.3233/ida-205724.
Texto completoV. Graça, João, Kuzman Ganchev y Ben Taskar. "Learning Tractable Word Alignment Models with Complex Constraints". Computational Linguistics 36, n.º 3 (septiembre de 2010): 481–504. http://dx.doi.org/10.1162/coli_a_00007.
Texto completoDou, Wenbang, Weihong Chin y Naoyuki Kubota. "Multi-Scopic Cognitive Memory System for Continuous Gesture Learning". Biomimetics 8, n.º 1 (21 de febrero de 2023): 88. http://dx.doi.org/10.3390/biomimetics8010088.
Texto completoYanishevskaya, N. A. y I. P. Bolodurina. "APPLICATION OF COMPUTER VISION TECHNOLOGIES FOR THE DEVELOPMENT OF A MODEL FOR THE RECOGNITION OF LESIONS OF CULTIVATED PLANTS". Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 21, n.º 3 (agosto de 2021): 5–13. http://dx.doi.org/10.14529/ctcr210301.
Texto completoMohiuddin, Tasnim y Shafiq Joty. "Unsupervised Word Translation with Adversarial Autoencoder". Computational Linguistics 46, n.º 2 (junio de 2020): 257–88. http://dx.doi.org/10.1162/coli_a_00374.
Texto completoIchihashi, Hidetomo y Katsuhiro Honda. "Application of Kernel Trick to Fuzzy c-Means with Regularization by K-L Information". Journal of Advanced Computational Intelligence and Intelligent Informatics 8, n.º 6 (20 de noviembre de 2004): 566–72. http://dx.doi.org/10.20965/jaciii.2004.p0566.
Texto completoVasicek, Daniel. "Artificial intelligence and machine learning: Practical aspects of overfitting and regularization". Information Services & Use 39, n.º 4 (6 de febrero de 2020): 281–89. http://dx.doi.org/10.3233/isu-190059.
Texto completoGuo, Lihua. "Extreme Learning Machine with Elastic Net Regularization". Intelligent Automation & Soft Computing 26, n.º 3 (2020): 421–27. http://dx.doi.org/10.32604/iasc.2020.013918.
Texto completoZhang, Boyang, Zhao Ma, Yingyi Liu, Haiwen Yuan y Lingjie Sun. "Ensemble based reactivated regularization extreme learning machine for classification". Neurocomputing 275 (enero de 2018): 255–66. http://dx.doi.org/10.1016/j.neucom.2017.07.018.
Texto completoSerey, Joel, Luis Quezada, Miguel Alfaro, Guillermo Fuertes, Manuel Vargas, Rodrigo Ternero, Jorge Sabattin, Claudia Duran y Sebastian Gutierrez. "Artificial Intelligence Methodologies for Data Management". Symmetry 13, n.º 11 (29 de octubre de 2021): 2040. http://dx.doi.org/10.3390/sym13112040.
Texto completoEt. al., D. Saravanan ,. "Predict and Measure Air Quality Monitoring System Using Machine Learning". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, n.º 2 (10 de abril de 2021): 2562–71. http://dx.doi.org/10.17762/turcomat.v12i2.2217.
Texto completoShui, Changjian, Boyu Wang y Christian Gagné. "On the benefits of representation regularization in invariance based domain generalization". Machine Learning 111, n.º 3 (1 de enero de 2022): 895–915. http://dx.doi.org/10.1007/s10994-021-06080-w.
Texto completoWeiss, S. M. y N. Indurkhya. "Rule-based Machine Learning Methods for Functional Prediction". Journal of Artificial Intelligence Research 3 (1 de diciembre de 1995): 383–403. http://dx.doi.org/10.1613/jair.199.
Texto completoHein, Helle y Ljubov Jaanuska. "Comparison of machine learning methods for crack localization". Acta et Commentationes Universitatis Tartuensis de Mathematica 23, n.º 1 (9 de agosto de 2019): 125–42. http://dx.doi.org/10.12697/acutm.2019.23.13.
Texto completoAlspector, Joshua y Thomas Dietterich. "DARPA’s Role in Machine Learning". AI Magazine 41, n.º 2 (23 de junio de 2020): 36–48. http://dx.doi.org/10.1609/aimag.v41i2.5298.
Texto completoPatil, Shruti, Vijayakumar Varadarajan, Siddiqui Mohd Mazhar, Abdulwodood Sahibzada, Nihal Ahmed, Onkar Sinha, Satish Kumar, Kailash Shaw y Ketan Kotecha. "Explainable Artificial Intelligence for Intrusion Detection System". Electronics 11, n.º 19 (27 de septiembre de 2022): 3079. http://dx.doi.org/10.3390/electronics11193079.
Texto completoPettit, Rowland W., Robert Fullem, Chao Cheng y Christopher I. Amos. "Artificial intelligence, machine learning, and deep learning for clinical outcome prediction". Emerging Topics in Life Sciences 5, n.º 6 (20 de diciembre de 2021): 729–45. http://dx.doi.org/10.1042/etls20210246.
Texto completoZhou, Yong, Beizuo Liu, Shixiong Xia y Bing Liu. "Semi-supervised extreme learning machine with manifold and pairwise constraints regularization". Neurocomputing 149 (febrero de 2015): 180–86. http://dx.doi.org/10.1016/j.neucom.2014.01.073.
Texto completoCampos Souza, Paulo Vitor De, Augusto Junio Guimaraes, Vanessa Souza Ararújo, Thiago Silva Rezende y Vinicius Jonathan Silva Araújo. "Fuzzy Neural Networks based on Fuzzy Logic Neurons Regularized by Resampling Techniques and Regularization Theory for Regression Problems". Inteligencia Artificial 21, n.º 62 (9 de noviembre de 2018): 114. http://dx.doi.org/10.4114/intartif.vol22iss63pp114-133.
Texto completoJurewicz, Mateusz y Leon Derczynski. "Set-to-Sequence Methods in Machine Learning: A Review". Journal of Artificial Intelligence Research 71 (12 de agosto de 2021): 885–924. http://dx.doi.org/10.1613/jair.1.12839.
Texto completoZharikova, E. P., J. Yu Grigoriev y A. L. Grigorieva. "Artificial Intelligence Methods for Detecting Water Pollution". IOP Conference Series: Earth and Environmental Science 988, n.º 2 (1 de febrero de 2022): 022082. http://dx.doi.org/10.1088/1755-1315/988/2/022082.
Texto completoBargagli Stoffi, Falco J., Gustavo Cevolani y Giorgio Gnecco. "Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory". Minds and Machines 32, n.º 1 (marzo de 2022): 13–42. http://dx.doi.org/10.1007/s11023-022-09592-z.
Texto completoHashimoto, Daniel A., Elan Witkowski, Lei Gao, Ozanan Meireles y Guy Rosman. "Artificial Intelligence in Anesthesiology". Anesthesiology 132, n.º 2 (1 de febrero de 2020): 379–94. http://dx.doi.org/10.1097/aln.0000000000002960.
Texto completoBektaş, Mustafa, Babs M. Zonderhuis, Henk A. Marquering, Jaime Costa Pereira, George L. Burchell y Donald L. van der Peet. "Artificial intelligence in hepatFIGopancreaticobiliary surgery: a systematic review". Artificial Intelligence Surgery 2, n.º 3 (2022): 132–43. http://dx.doi.org/10.20517/ais.2022.20.
Texto completoShi, Tianyi, Wei Huang, Man Zhang y Jingyue Wu. "Application of Artificial Intelligence in Material Testing". Highlights in Science, Engineering and Technology 1 (14 de junio de 2022): 171–74. http://dx.doi.org/10.54097/hset.v1i.445.
Texto completoWu, Chengyuan y Carol Anne Hargreaves. "Topological Machine Learning for Mixed Numeric and Categorical Data". International Journal on Artificial Intelligence Tools 30, n.º 05 (agosto de 2021): 2150025. http://dx.doi.org/10.1142/s0218213021500251.
Texto completoTiwari, Tanya, Tanuj Tiwari y Sanjay Tiwari. "How Artificial Intelligence, Machine Learning and Deep Learning are Radically Different?" International Journal of Advanced Research in Computer Science and Software Engineering 8, n.º 2 (6 de marzo de 2018): 1. http://dx.doi.org/10.23956/ijarcsse.v8i2.569.
Texto completoRusova, O., V. Bredikhin y V. Verbytska. "FOCUS ON ARTIFICIAL INTELLIGENCE FOR PREDICTING THE OUTFLOW OF CLIENTS FROM ON-LINE EDUCATION SITES". Municipal economy of cities 4, n.º 171 (17 de octubre de 2022): 2–6. http://dx.doi.org/10.33042/2522-1809-2022-4-171-2-6.
Texto completoEl-Nabarawy, Islam y Ashraf M. Abdelbar. "Advanced learning methods and exponent regularization applied to a high order neural network". Neural Computing and Applications 25, n.º 3-4 (3 de abril de 2014): 897–910. http://dx.doi.org/10.1007/s00521-014-1563-7.
Texto completoTripathi, Diwakar, Damodar Reddy Edla, Annushree Bablani, Alok Kumar Shukla y B. Ramachandra Reddy. "Experimental analysis of machine learning methods for credit score classification". Progress in Artificial Intelligence 10, n.º 3 (15 de marzo de 2021): 217–43. http://dx.doi.org/10.1007/s13748-021-00238-2.
Texto completoM S, Dharmapriya. "Thesis on Machine Learning Methods and Its Applications". International Journal for Research in Applied Science and Engineering Technology 9, n.º 10 (31 de octubre de 2021): 746–57. http://dx.doi.org/10.22214/ijraset.2021.38506.
Texto completoAbdelmonem, Ahmed y Nehal N. Mostafa. "Interpretable Machine Learning Fusion and Data Analytics Models for Anomaly Detection". Fusion: Practice and Applications 3, n.º 1 (2021): 54–69. http://dx.doi.org/10.54216/fpa.030104.
Texto completoChen, Zihao, Long Hu, Bao-Ting Zhang, Aiping Lu, Yaofeng Wang, Yuanyuan Yu y Ge Zhang. "Artificial Intelligence in Aptamer–Target Binding Prediction". International Journal of Molecular Sciences 22, n.º 7 (30 de marzo de 2021): 3605. http://dx.doi.org/10.3390/ijms22073605.
Texto completoLitman, D. J. "Cue Phrase Classification Using Machine Learning". Journal of Artificial Intelligence Research 5 (1 de septiembre de 1996): 53–94. http://dx.doi.org/10.1613/jair.327.
Texto completoRashidi, Hooman H., Nam K. Tran, Elham Vali Betts, Lydia P. Howell y Ralph Green. "Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods". Academic Pathology 6 (1 de enero de 2019): 237428951987308. http://dx.doi.org/10.1177/2374289519873088.
Texto completoMosteiro, Pablo, Jesse Kuiper, Judith Masthoff, Floortje Scheepers y Marco Spruit. "Bias Discovery in Machine Learning Models for Mental Health". Information 13, n.º 5 (5 de mayo de 2022): 237. http://dx.doi.org/10.3390/info13050237.
Texto completoSantos, Allan Erlikhman Medeiros, Milene Sabino Lana y Tiago Martins Pereira. "Evaluation of machine learning methods for rock mass classification". Neural Computing and Applications 34, n.º 6 (26 de octubre de 2021): 4633–42. http://dx.doi.org/10.1007/s00521-021-06618-y.
Texto completoGeary, Andrew. "Seismic Soundoff". Leading Edge 39, n.º 9 (septiembre de 2020): 688. http://dx.doi.org/10.1190/tle39090688.1.
Texto completoZöller, Marc-André y Marco F. Huber. "Benchmark and Survey of Automated Machine Learning Frameworks". Journal of Artificial Intelligence Research 70 (27 de enero de 2021): 409–72. http://dx.doi.org/10.1613/jair.1.11854.
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