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)
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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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