| 書目名稱 | Data Complexity in Pattern Recognition |
| 編輯 | Mitra Basu,Tin Kam Ho |
| 視頻video | http://file.papertrans.cn/263/262759/262759.mp4 |
| 概述 | Shows how to appreciate the presence and nature of patterns in specific problems.Helps the reader set proper expectations for classification performance.Offers guidance on choosing the best pattern re |
| 叢書名稱 | Advanced Information and Knowledge Processing |
| 圖書封面 |  |
| 描述 | .Machines capable of automatic pattern recognition have many fascinating uses in science & engineering as well as in our daily lives. Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at the core of this capability...This book takes a close view of data complexity & its role in shaping the theories & techniques in different disciplines & asks:...What is missing from current classification techniques?..When the automatic classifiers are not perfect, is it a deficiency of the algorithms by design, or is it a difficulty intrinsic to the classification task?..How do we know whether we have exploited to the fullest extent the knowledge embedded in the training data?..Uunique in its comprehensive coverage & multidisciplinary approach from various methodological & practical perspectives, researchers & practitioners will find this book an insightful reference to learn about current available techniques as well as application areas.. |
| 出版日期 | Book 2006 |
| 關(guān)鍵詞 | algorithm; algorithms; classification; clustering; cognition; complexity; evolution; graph; human-computer i |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-84628-172-3 |
| isbn_softcover | 978-1-84996-557-6 |
| isbn_ebook | 978-1-84628-172-3Series ISSN 1610-3947 Series E-ISSN 2197-8441 |
| issn_series | 1610-3947 |
| copyright | Springer-Verlag London 2006 |
|Archiver|手機版|小黑屋|
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