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ECCV
2006
Springer
16 years 8 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
ICML
2009
IEEE
16 years 7 months ago
Boosting with structural sparsity
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
John Duchi, Yoram Singer
JMLR
2008
92views more  JMLR 2008»
15 years 6 months ago
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
Liviu Panait, Karl Tuyls, Sean Luke
KI
2007
Springer
16 years 23 days ago
A General Framework for Encoding and Evolving Neural Networks
Abstract. In this paper we present a novel general framework for encoding and evolving networks called Common Genetic Encoding (CGE) that can be applied to both direct and indirect...
Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea...
SIGSOFT
2010
ACM
15 years 5 months ago
SCORE: the first student contest on software engineering
The Student Contest on Software Engineering (SCORE), organized for the first time in conjunction with the International Conference on Software Engineering (ICSE) 2009, attracted 5...
Dino Mandrioli, Stephen Fickas, Carlo A. Furia, Me...