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Multi-Strategy Learning Environment

Proceedings of ICMSLE 2025

  • Conference proceedings
  • Oct 2025

Overview

Editors:
  1. Vrince Vimal

    1. Computer Science & Engineering, Graphic Era Hill University, Dehradun, India

  2. Isidoros Perikos

    1. Department of computer science & Informatics, University of Patras, Patra, Greece

  3. Hamed Taherdoost

    1. University Canada West, Vancouver, Canada

  • Presents recent innovative research in multi-strategy learning environment
  • Discusses the outcomes of ICMSLE 2025
  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Algorithms for Intelligent Systems (AIS)

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About this book

This book presents selected papers from International Conference on Multi-Strategy Learning Environment (ICMSLE 2025), held at Graphic Era Hill University, Dehradun, India, during 26–27 February 2025. 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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Editors and Affiliations

  • Computer Science & Engineering, Graphic Era Hill University, Dehradun, India

    Vrince Vimal

  • Department of computer science & Informatics, University of Patras, Patra, Greece

    Isidoros Perikos

  • University Canada West, Vancouver, Canada

    Hamed Taherdoost

Accessibility Information

PDF accessibility summary

This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.

EPUB accessibility summary

This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

Bibliographic Information

  • Book Title: Multi-Strategy Learning Environment

  • Book Subtitle: Proceedings of ICMSLE 2025

  • Editors: Vrince Vimal, Isidoros Perikos, Hamed Taherdoost

  • Series Title: Algorithms for Intelligent Systems

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026

  • Hardcover ISBN: 978-981-96-7058-1Due: 10 November 2025

  • Softcover ISBN: 978-981-96-7061-1Due: 10 November 2026

  • eBook ISBN: 978-981-96-7059-8Due: 17 November 2025

  • Series ISSN: 2524-7565

  • Series E-ISSN: 2524-7573

  • Edition Number: 1

  • Number of Pages: X, 731

  • Number of Illustrations: 42 b/w illustrations, 243 illustrations in colour

Keywords

  • Machine Learning Techniques
  • Game theory and learning
  • Computer vision and natural language processing
  • Probabilistic graphical models and learning
  • ICMSLE 2025 Proceedings

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