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ICML
2009
IEEE
16 years 8 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint
195
Voted
ICML
2006
IEEE
16 years 8 months ago
Kernelizing the output of tree-based methods
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...
156
Voted
KDD
2007
ACM
121views Data Mining» more  KDD 2007»
16 years 7 months ago
Preserving the Privacy of Sensitive Relationships in Graph Data
Abstract. In this paper, we focus on the problem of preserving the privacy of sensitive relationships in graph data. We refer to the problem of inferring sensitive relationships fr...
Elena Zheleva, Lise Getoor
215
Voted
RECOMB
2008
Springer
16 years 7 months ago
Fast and Accurate Alignment of Multiple Protein Networks
Comparative analysis of protein networks has proven to be a powerful approach for elucidating network structure and predicting protein function and interaction. A fundamental chall...
Maxim Kalaev, Vineet Bafna, Roded Sharan
211
Voted
RECOMB
2006
Springer
16 years 7 months ago
Detecting the Dependent Evolution of Biosequences
Abstract. A probabilistic graphical model is developed in order to detect the dependent evolution between different sites in biological sequences. Given a multiple sequence alignme...
Jeremy Darot, Chen-Hsiang Yeang, David Haussler