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ECML
2004
Springer
14 years 1 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
AIIA
2007
Springer
14 years 2 months ago
A Hierarchical Clustering Procedure for Semantically Annotated Resources
Abstract. A clustering method is presented which can be applied to relational knowledge bases. It can be used to discover interesting groupings of resources through their (semantic...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 8 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
KDD
2001
ACM
142views Data Mining» more  KDD 2001»
14 years 8 months ago
TreeDT: gene mapping by tree disequilibrium test
We introduce and evaluate TreeDT, a novel gene mapping method which is based on discovering and assessing tree-like patterns in genetic marker data. Gene mapping aims at discoveri...
Petteri Sevon, Hannu Toivonen, Vesa Ollikainen
PODS
2007
ACM
159views Database» more  PODS 2007»
14 years 8 months ago
Generalized hypertree decompositions: np-hardness and tractable variants
The generalized hypertree width GHW(H) of a hypergraph H is a measure of its cyclicity. Classes of conjunctive queries or constraint satisfaction problems whose associated hypergr...
Georg Gottlob, Thomas Schwentick, Zoltán Mi...