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UAI
1996
13 years 9 months ago
Efficient Search-Based Inference for noisy-OR Belief Networks: TopEpsilon
Inference algorithms for arbitrary belief networks are impractical for large, complex belief networks. Inference algorithms for specialized classes of belief networks have been sh...
Kurt Huang, Max Henrion
CEC
2005
IEEE
14 years 1 months ago
Adaptive local search parameters for real-coded memetic algorithms
AbstractThis paper presents a real-coded memetic algorithm that combines a high diversity global exploration with an adaptive local search method to the most promising individuals ...
Daniel Molina, Francisco Herrera, Manuel Lozano
WWW
2004
ACM
14 years 8 months ago
Clustering e-commerce search engines
In this paper, we sketch a method for clustering e-commerce search engines by the type of products/services they sell. This method utilizes the special features of interface pages...
Qian Peng, Weiyi Meng, Hai He, Clement T. Yu
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
14 years 8 months ago
Identifying "best bet" web search results by mining past user behavior
The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special h...
Eugene Agichtein, Zijian Zheng
IPM
2008
134views more  IPM 2008»
13 years 7 months ago
RSS: A framework enabling ranked search on the semantic web
The semantic web not only contains resources but also includes the heterogeneous relationships among them, which is sharply distinguished from the current web. As the growth of th...
Xiaomin Ning, Hai Jin, Hao Wu