A constructive learning algorithm for text categorization | |
Chen, Weijun ; Zhang, Bo | |
2010-05-07 ; 2010-05-07 | |
会议名称 | ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS ; 3rd International Symposium on Neural Networks (ISNN 2006) ; Chengdu, PEOPLES R CHINA ; Web of Science ; INSPEC |
关键词 | Computer Science, Theory & Methods |
中文摘要 | The paper presents a new constructive learning algorithm CWSN (Covering With Sphere Neighborhoods) for three-layer neural networks, and uses it to solve the text categorization (TC) problem. The algorithm is based on a geometrical representation of M-P neuron, i.e., for each category, CWSN tries to find a set of sphere neighborhoods which cover as many positive documents as possible, and don't cover any negative documents. Each sphere neighborhood represents a covering area in the vector space and it also corresponds to a hidden neuron in the network. The experimental results show that CWSN demonstrates promising performance compared to other commonly used TC classifiers. |
会议录出版者 | SPRINGER-VERLAG BERLIN ; BERLIN ; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY |
语种 | 英语 ; 英语 |
内容类型 | 会议论文 |
源URL | [http://hdl.handle.net/123456789/16927] ![]() |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | Chen, Weijun,Zhang, Bo. A constructive learning algorithm for text categorization[C]. 见:ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS, 3rd International Symposium on Neural Networks (ISNN 2006), Chengdu, PEOPLES R CHINA, Web of Science, INSPEC. |
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