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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...
129
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...
145
Voted
SECON
2008
IEEE
15 years 10 months ago
2008
IEEE
—We describe and evaluate a suite of distributed and computationally efficient algorithms for solving a class of convex optimization problems in wireless sensor networks. The pr...
119
Voted
ISPD
1998
ACM
15 years 7 months ago
1998
ACM
In this paper, we formulate a new class of optimization problem, named the general CH-posynomial program, and reveal the general dominance property. We propose an efcient algorith...