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AI
2002
Springer
13 years 8 months ago
Improving heuristic mini-max search by supervised learning
This article surveys three techniques for enhancing heuristic game-tree search pioneered in the author's Othello program Logistello, which dominated the computer Othello scen...
Michael Buro
AIPS
2008
13 years 11 months ago
Stochastic Planning with First Order Decision Diagrams
Dynamic programming algorithms have been successfully applied to propositional stochastic planning problems by using compact representations, in particular algebraic decision diag...
Saket Joshi, Roni Khardon
CVIU
2008
109views more  CVIU 2008»
13 years 9 months ago
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual st
In this paper we introduce a novel method to address minimization of static and dynamic MRFs. Our approach is based on principles from linear programming and, in particular, on pr...
Nikos Komodakis, Georgios Tziritas, Nikos Paragios
MICCAI
2009
Springer
14 years 10 months ago
Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy
Recent advances in biophotonics have enabled in-vivo, in-situ histopathology for routine clinical applications. The non-invasive nature of these optical `biopsy' techniques, h...
Selen Atasoy, Ben Glocker, Stamatia Giannarou, ...
KBSE
2007
IEEE
14 years 3 months ago
Context-aware statistical debugging: from bug predictors to faulty control flow paths
Effective bug localization is important for realizing automated debugging. One attractive approach is to apply statistical techniques on a collection of evaluation profiles of pr...
Lingxiao Jiang, Zhendong Su