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ATVA
2008
Springer
99views Hardware» more  ATVA 2008»
15 years 6 months ago
Model Checking Recursive Programs with Exact Predicate Abstraction
e Abstraction Arie Gurfinkel1 , Ou Wei2 , and Marsha Chechik2 1 Software Engineering Institute, Carnegie Mellon University 2 Department of Computer Science, University of Toronto A...
Arie Gurfinkel, Ou Wei, Marsha Chechik
JMLR
2006
92views more  JMLR 2006»
15 years 4 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
IOR
2011
152views more  IOR 2011»
14 years 11 months ago
Risk-Averse Two-Stage Stochastic Linear Programming: Modeling and Decomposition
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
Naomi Miller, Andrzej Ruszczynski
JCC
2011
154views more  JCC 2011»
14 years 6 months ago
Can we trust docking results? Evaluation of seven commonly used programs on PDBbind database
: Docking is one of the most commonly used techniques in drug design. It is used for both identifying correct poses of a ligand in the binding site of a protein as well as for the ...
Dariusz Plewczynski, Michal Lazniewski, Rafal Augu...
JMLR
2012
13 years 6 months ago
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu