| 书目名称 | Hybrid Classifiers |
| 副标题 | Methods of Data, Kno |
| 编辑 | Michal Wozniak |
| 视频video | |
| 概述 | Latest research on Classifier Fusion.Presents Methods of Data and Classifier Fusion.Written by leading experts in the field |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance the data and knowledge incorporated in hybridization were the action points, and then a still growing up area of classifier systems known as combined classifiers was considered. This book comprises the aforementioned state-of-the-art topics and the latest research results of the author and his team from Department of Systems and Computer Networks, Wroclaw University of Technology, including as classifier based on feature space splitting, one-class classification, imbalance data, and data stream classification.. |
| 出版日期 | Book 2014 |
| 关键词 | Classifier Fusion; Computational Intelligence; Data Fusion; Intelligent Systems |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-40997-4 |
| isbn_softcover | 978-3-662-52304-9 |
| isbn_ebook | 978-3-642-40997-4Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2014 |
发表于 2025-3-21 17:59:25
