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Multi-strategy learning environment = proceedings of ICMSLE 2024 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Multi-strategy learning environment/ edited by Vrince Vimal ... [et al.].
Reminder of title:
proceedings of ICMSLE 2024 /
remainder title:
ICMSLE 2024
other author:
Vimal, Vrince.
corporate name:
International Conference on Multi-Strategy Learning Environment
Published:
Singapore :Springer Nature Singapore : : 2024.,
Description:
xvi, 717 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Machine learning - Congresses. -
Online resource:
https://doi.org/10.1007/978-981-97-1488-9
ISBN:
9789819714889
Multi-strategy learning environment = proceedings of ICMSLE 2024 /
Multi-strategy learning environment
proceedings 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
Standard No.: 10.1007/978-981-97-1488-9doiSubjects--Topical Terms:
576368
Machine learning
--Congresses.
LC Class. No.: Q325.5 / .I58 2024
Dewey Class. No.: 006.31
Multi-strategy learning environment = proceedings of ICMSLE 2024 /
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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.
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Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
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電子資源
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Items
1 records • Pages 1 •
1
Inventory Number
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Opac note
Attachments
W9492580
電子資源
11.線上閱覽_V
電子書
EB Q325.5 .I58 2024
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0
1 records • Pages 1 •
1
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