Algorithms in Machine Learning Paradigms
This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learn
- PDF / 8,228,591 Bytes
- 201 Pages / 453.544 x 683.151 pts Page_size
- 52 Downloads / 231 Views
Jyotsna Kumar Mandal Somnath Mukhopadhyay Paramartha Dutta Kousik Dasgupta Editors
Algorithms in Machine Learning Paradigms
Studies in Computational Intelligence Volume 870
Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. The books of this series are submitted to indexing to Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink.
More information about this series at http://www.springer.com/series/7092
Jyotsna Kumar Mandal Somnath Mukhopadhyay Paramartha Dutta Kousik Dasgupta •
•
•
Editors
Algorithms in Machine Learning Paradigms
123
Editors Jyotsna Kumar Mandal Kalyani University Kalyani, India Paramartha Dutta Department of Computer and System Sciences Visva-Bharati University Bolpur, West Bengal, India
Somnath Mukhopadhyay Department of Computer Science and Engineering, Triguna Sen School of Technology Assam University Silchar, Assam, India Kousik Dasgupta Department of Computer Science and Engineering Kalyani Government Engineering College Kalyani, West Bengal, India
ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-981-15-1040-3 ISBN 978-981-15-1041-0 (eBook) https://doi.org/10.1007/978-981-15-1041-0 © Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are beli
Data Loading...
