| 書目名稱 | Innovations in Machine Learning |
| 副標(biāo)題 | Theory and Applicati |
| 編輯 | Dawn E. Holmes,Lakhmi C. Jain |
| 視頻video | http://file.papertrans.cn/468/467139/467139.mp4 |
| 概述 | Latest research in machine learning |
| 叢書名稱 | Studies in Fuzziness and Soft Computing |
| 圖書封面 |  |
| 描述 | .Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained....Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.. |
| 出版日期 | Book 2006 |
| 關(guān)鍵詞 | Case-based Machine Learning Paradigms; Computational Algorithms in Machine Learning; Explanation-based |
| 版次 | 1 |
| doi | https://doi.org/10.1007/3-540-33486-6 |
| isbn_softcover | 978-3-642-06788-4 |
| isbn_ebook | 978-3-540-33486-6Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2006 |
|Archiver|手機版|小黑屋|
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