03035nam a22006135i 4500 978-981-97-1488-9 DE-He213 20251030112239.0 cr nn 008mamaa 240528s2024 si | s |||| 0|eng d 9789819714889 978-981-97-1488-9 10.1007/978-981-97-1488-9 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Multi-Strategy Learning Environment [electronic resource] : Proceedings of ICMSLE 2024 / edited by Vrince Vimal, Isidoros Perikos, Amrit Mukherjee, Vincenzo Piuri. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVI, 717 p. 279 illus., 241 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Algorithms for Intelligent Systems, 2524-7573 The book presents selected papers from International Conference on Multi-Strategy Learning Environment (ICMSLE 2024), held at Graphic Era Hill University, Dehradun, India, during 12–13 January 2024. This book presents current research in machine learning techniques, deep learning theories and practices, interpretability and explainability of AI algorithms, game theory and learning, multi-strategy learning (MSL) in distributed and streaming environments, and adaptive data analysis and selective inference. Computational intelligence. 64052 Artificial intelligence. 58441 Computer vision. Natural language processing (Computer science). 65131 Game theory. Computational Intelligence. 64052 Artificial Intelligence. 58441 Computer Vision. Natural Language Processing (NLP). 66164 Game Theory. Vimal, Vrince. editor. edt http://id.loc.gov/vocabulary/relators/edt 77670 Perikos, Isidoros. editor. edt http://id.loc.gov/vocabulary/relators/edt 77671 Mukherjee, Amrit. editor. edt http://id.loc.gov/vocabulary/relators/edt 77672 Piuri, Vincenzo. editor. edt http://id.loc.gov/vocabulary/relators/edt 74447 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819714872 Printed edition: 9789819714896 Printed edition: 9789819714902 Algorithms for Intelligent Systems, 2524-7573 66647 https://doi.org/10.1007/978-981-97-1488-9 ZDB-2-INR ZDB-2-SXIT 60230 60230