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Multi-strategy learning environmentproceedings of ICMSLE 2024 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multi-strategy learning environmentedited by Vrince Vimal ... [et al.].
Reminder of title:	proceedings of ICMSLE 2024 /
remainder title:	ICMSLE 2024
other author:	Vimal, Vrince.
corporate name:
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xvi, 717 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-981-97-1488-9
ISBN:	9789819714889$q(electronic bk.)

Multi-strategy learning environmentproceedings of ICMSLE 2024 /
Multi-strategy learning environmentproceedings of ICMSLE 2024 /[electronic resource] :ICMSLE 2024edited by Vrince Vimal ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xvi, 717 p. :ill. (chiefly col.), digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..

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.

ISBN: 9789819714889$q(electronic bk.)

Standard No.: 10.1007/978-981-97-1488-9doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .I58 2024

Dewey Class. No.: 006.31

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