30 search results - page 5 / 6 » Bayesian Monte Carlo for the Global Optimization of Expensiv... |
IJCAI
2007
13 years 6 months ago
2007
Gait optimization is a basic yet challenging problem for both quadrupedal and bipedal robots. Although techniques for automating the process exist, most involve local function opt...
CDC
2009
IEEE
13 years 10 months ago
2009
IEEE
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
GECCO
2009
Springer
14 years 6 hour ago
2009
Springer
The hypervolume indicator has become popular in recent years both for performance assessment and to guide the search of evolutionary multiobjective optimizers. Two critical resear...
ECCV
2002
Springer
14 years 7 months ago
2002
Springer
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
WSC
1997
13 years 6 months ago
1997
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...