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ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
14 years 28 days ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
JMLR
2010
113views more  JMLR 2010»
13 years 2 months ago
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru M...
DATE
2007
IEEE
167views Hardware» more  DATE 2007»
14 years 2 months ago
A decomposition-based constraint optimization approach for statically scheduling task graphs with communication delays to multip
We present a decomposition strategy to speed up constraint optimization for a representative multiprocessor scheduling problem. In the manner of Benders decomposition, our techniq...
Nadathur Satish, Kaushik Ravindran, Kurt Keutzer
WWW
2008
ACM
14 years 8 months ago
Improving web spam detection with re-extracted features
Web spam detection has become one of the top challenges for the Internet search industry. Instead of using some heuristic rules, we propose a feature re-extraction strategy to opt...
Guanggang Geng, Chunheng Wang, Qiudan Li
IJCAI
2001
13 years 9 months ago
Keyword Spices: A New Method for Building Domain-Specific Web Search Engines
This paper presents a new method for building domain-specific web search engines. Previous methods eliminate irrelevant documents from the pages accessed using heuristics based on...
Satoshi Oyama, Takashi Kokubo, Toru Ishida, Teruhi...