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KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 5 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
WWW
2008
ACM
15 years 5 months ago
Discovering co-located queries in geographic search logs
A geographic search request contains a query consisting of one or more keywords, and a search-location that the user searches for. In this paper, we study the problem of discoveri...
Xiangye Xiao, Longhao Wang, Xing Xie, Qiong Luo
CEC
2005
IEEE
15 years 10 months ago
Parallel evolutionary algorithms on graphics processing unit
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
Man Leung Wong, Tien-Tsin Wong, Ka-Ling Fok
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 9 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
IJVR
2008
111views more  IJVR 2008»
15 years 5 months ago
Improve a Game Board based on Cultural Algorithms
Evolutionary computation is a generic term used to make reference to the solution of computational problems planned and implemented based on models of an evolutionary process. Most...
Alberto Ochoa, Alejandro Padilla, Saúl Gonz...