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113
Voted
ECAI
2006
Springer
15 years 7 months ago
2006
Springer
Some of the most successful algorithms for satisfiability, such as Walksat, are based on random walks. Similarly, local search algorithms for solving constraint optimization proble...
123
Voted
WCE
2007
15 years 4 months ago
2007
Abstract—In this work we present a variational formulation for a multilayer perceptron neural network. With this formulation any learning task for the neural network is defined ...
122
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
130
Voted
JMLR
2008
15 years 3 months ago
2008
Due to its wide applicability, the problem of semi-supervised classification is attracting increasing attention in machine learning. Semi-Supervised Support Vector Machines (S3VMs...
108
Voted
CEC
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract—Hybrid methods are very popular for solving problems from combinatorial optimization. In contrast to this the theoretical understanding of the interplay of different opt...