中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
attributenets: an incremental learning method for interpretable classification

文献类型:会议论文

作者Wu Hu ; Wang Yongii ; Huai Xiaoyong
出版日期2007
会议名称11th Pacific-Asia Conference on Knowledge Discovery and Data Mining
会议日期43973
会议地点Nanjing, PEOPLES R CHINA
关键词Data mining Learning algorithms Problem solving Statistical methods Storage allocation (computer)
页码940-947
英文摘要Incremental learning is of more and more importance in real world data mining scenarios. Memory cost and adaptation cost are two major concerns of incremental learning algorithms. In this paper we provide a novel incremental learning method, A
会议主办者Nanjing Univ, LAMDA Grp, Nanjing Univ, Aeronaut & Astronaut, Japanese Soc Artificial Intelligence, Singapore Inst Stat, Natl Nat Sci Fdn China, Microsoft adCenter Labs, NEC Labs, China, Microsoft Res Asia, Salford Syst, KC Wong Educ Fdn
会议录Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS
会议录出版地HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
ISSN号0302-9743
ISBN号978-3-540-71700-3
源URL[http://124.16.136.157/handle/311060/11076]  
专题软件研究所_互联网软件技术实验室 _会议论文
推荐引用方式
GB/T 7714
Wu Hu,Wang Yongii,Huai Xiaoyong. attributenets: an incremental learning method for interpretable classification[C]. 见:11th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Nanjing, PEOPLES R CHINA. 43973.

入库方式: OAI收割

来源:软件研究所

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