| 書目名稱 | Hybrid Classifiers | | 副標(biāo)題 | Methods of Data, Kno | | 編輯 | Michal Wozniak | | 視頻video | http://file.papertrans.cn/431/430071/430071.mp4 | | 概述 | Latest research on Classifier Fusion.Presents Methods of Data and Classifier Fusion.Written by leading experts in the field | | 叢書名稱 | Studies in Computational Intelligence | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | 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 |
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