QQ客服 官方微博 反馈留言

	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.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。