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» Approximate algorithms for neural-Bayesian approaches
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NIPS
2008
14 years 11 months ago
Continuously-adaptive discretization for message-passing algorithms
Continuously-Adaptive Discretization for Message-Passing (CAD-MP) is a new message-passing algorithm for approximate inference. Most message-passing algorithms approximate continu...
Michael Isard, John MacCormick, Kannan Achan
PPSN
2004
Springer
15 years 3 months ago
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
Anne Auger, Marc Schoenauer, Nicolas Vanhaecke
JMLR
2010
164views more  JMLR 2010»
14 years 4 months ago
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms
The Uncapacitated Facility Location Problem (UFLP) is one of the most widely studied discrete location problems, whose applications arise in a variety of settings. We tackle the U...
Nevena Lazic, Brendan J. Frey, Parham Aarabi
CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Using Parallel Algorithms for Searching Molecular Sequence Databases
This work presents the development of algorithms for approximate string matching using parallel methods. It intends to do the maximum of molecular sequences comparisons per unity ...
Carla Correa Tavares dos Reis, Rubem P. Mondaini
FOCS
1998
IEEE
15 years 2 months ago
Faster and Simpler Algorithms for Multicommodity Flow and Other Fractional Packing Problems
This paper considers the problem of designing fast, approximate, combinatorial algorithms for multicommodity flows and other fractional packing problems. We provide a different ap...
Naveen Garg, Jochen Könemann