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IPM
2006
111views more  IPM 2006»
15 years 4 months ago
Combining preference- and content-based approaches for improving document clustering effectiveness
E-commerce and knowledge management applications generate and consume tremendous amounts of online information that is typically available as textual documents. To facilitate subs...
Chih-Ping Wei, Chin-Sheng Yang, Han-Wei Hsiao, Tsa...
JSAT
2008
113views more  JSAT 2008»
15 years 4 months ago
Combining Adaptive and Dynamic Local Search for Satisfiability
In this paper we describe a stochastic local search (SLS) procedure for finding models of satisfiable propositional formulae. This new algorithm, gNovelty+ , draws on the features...
Duc Nghia Pham, John Thornton, Charles Gretton, Ab...
EC
2002
180views ECommerce» more  EC 2002»
15 years 3 months ago
Combining Convergence and Diversity in Evolutionary Multiobjective Optimization
Over the past few years, the research on evolutionary algorithms has demonstrated their niche in solving multiobjective optimization problems, where the goal is to nd a number of ...
Marco Laumanns, Lothar Thiele, Kalyanmoy Deb, Ecka...
CIKM
2010
Springer
15 years 2 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang
RIVF
2008
15 years 5 months ago
Simple but effective methods for combining kernels in computational biology
Complex biological data generated from various experiments are stored in diverse data types in multiple datasets. By appropriately representing each biological dataset as a kernel ...
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori ...