Title: | attributenets: an incremental learning method for interpretable classification |
Author: | Wu Hu
; Wang Yongii
; Huai Xiaoyong
|
Source: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Conference Name: | 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining
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Conference Date: | 43973
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Issued Date: | 2007
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Conference Place: | Nanjing, PEOPLES R CHINA
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Keyword: | Data mining
; Learning algorithms
; Problem solving
; Statistical methods
; Storage allocation (computer)
|
Publisher: | ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS
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Publish Place: | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
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ISSN: | 0302-9743
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ISBN: | 978-3-540-71700-3
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Department: | Chinese Acad Sci, Inst Software, Beijing 10080, Peoples R China.
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Sponsorship: | 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
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English Abstract: | 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 |
Content Type: | 会议论文
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URI: | http://ir.iscas.ac.cn/handle/311060/11076
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Appears in Collections: | 互联网软件技术实验室 _会议论文
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an incremental learning method for interpretable classification.pdf(239KB) | -- | -- | 限制开放 | -- | 联系获取全文 |
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Recommended Citation: |
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.
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