| 书目名称 | Emerging Paradigms in Machine Learning |
| 编辑 | Sheela Ramanna,Lakhmi C Jain,Robert J. Howlett |
| 视频video | |
| 概述 | State of the art of emerging paradigms in machine learning including some real world applications.Latest research in machine learning and biologically-based techniques for the design and implementatio |
| 丛书名称 | Smart Innovation, Systems and Technologies |
| 图书封面 |  |
| 描述 | .This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book. . |
| 出版日期 | Book 2013 |
| 关键词 | Emerging paradigms; Emerging paradigms; Intelligent systems; Intelligent systems; Machine learning; Machi |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-28699-5 |
| isbn_softcover | 978-3-642-43574-4 |
| isbn_ebook | 978-3-642-28699-5Series ISSN 2190-3018 Series E-ISSN 2190-3026 |
| issn_series | 2190-3018 |
| copyright | Springer-Verlag Berlin Heidelberg 2013 |
发表于 2025-3-21 17:12:16
