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PVM
2005
Springer
15 years 9 months ago
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Thomas Serafini, Luca Zanni, Gaetano Zanghirati
EUROGP
2001
Springer
15 years 8 months ago
A GP Artificial Ant for Image Processing: Preliminary Experiments with EASEA
This paper describes how animat-based “food foraging” techniques may be applied to the design of low-level image processing algorithms. First, we show how we implemented the fo...
Enzo Bolis, Christian Zerbi, Pierre Collet, Jean L...
GECCO
2010
Springer
152views Optimization» more  GECCO 2010»
15 years 8 months ago
Active covariance matrix adaptation for the (1+1)-CMA-ES
We propose a novel variant of the (1 + 1)-CMA-ES that updates the distribution of mutation vectors based on both successful and unsuccessful trial steps. The computational costs o...
Dirk V. Arnold, Nikolaus Hansen
AAAI
2006
15 years 5 months ago
Point-based Dynamic Programming for DEC-POMDPs
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
Daniel Szer, François Charpillet
IANDC
2006
86views more  IANDC 2006»
15 years 4 months ago
Table design in dynamic programming
Dynamic Programming solves combinatorial optimization problems by recursive decomposition and tabulation of intermediate results. The first step in the design of a dynamic program...
Peter Steffen, Robert Giegerich