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» Improved Transliteration Mining Using Graph Reinforcement
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PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 4 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
CIKM
2004
Springer
15 years 3 months ago
Optimizing web search using web click-through data
The performance of web search engines may often deteriorate due to the diversity and noisy information contained within web pages. User click-through data can be used to introduce...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Yong Yu, W...
98
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CIKM
2008
Springer
14 years 11 months ago
Structure feature selection for graph classification
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
Hongliang Fei, Jun Huan
SDM
2007
SIAM
126views Data Mining» more  SDM 2007»
14 years 11 months ago
Scalable Name Disambiguation using Multi-level Graph Partition
When non-unique values are used as the identifier of entities, due to their homonym, confusion can occur. In particular, when (part of) “names” of entities are used as their ...
Byung-Won On, Dongwon Lee
WWW
2009
ACM
15 years 10 months ago
Mining interesting locations and travel sequences from GPS trajectories
The increasing availability of GPS-enabled devices is changing the way people interact with the Web, and brings us a large amount of GPS trajectories representing people's lo...
Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma