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» Evolving Rules for Document Classification
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KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 6 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
ICDM
2007
IEEE
198views Data Mining» more  ICDM 2007»
14 years 2 days ago
Social Network Extraction of Academic Researchers
This paper addresses the issue of extraction of an academic researcher social network. By researcher social network extraction, we are aimed at finding, extracting, and fusing the...
Jie Tang, Duo Zhang, Limin Yao
WWW
2005
ACM
14 years 6 months ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao
CHI
2010
ACM
14 years 18 days ago
Where there's a will there's a way: mobile media sharing in urban india
We present the results of a qualitative study of the sharing and consumption of entertainment media on low-cost mobile phones in urban India, a practice which has evolved into a v...
Thomas N. Smyth, Satish Kumar, Indrani Medhi, Kent...
EC
2006
195views ECommerce» more  EC 2006»
13 years 5 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...