164 search results - page 10 / 33 » Stochastic MINLP optimization using simplicial approximation |
ATAL
2004
Springer
14 years 2 months ago
2004
Springer
Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply si...
CPAIOR
2008
Springer
13 years 10 months ago
2008
Springer
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...
ICANN
2001
Springer
14 years 1 months ago
2001
Springer
The method of conjugate gradients provides a very effective way to optimize large, deterministic systems by gradient descent. In its standard form, however, it is not amenable to ...
METMBS
2003
13 years 10 months ago
2003
— We describe a stochastic optimization method that can be used to solve inverse problems in epidemic modelling. Although in general it cannot be expected that these inverse prob...
JMLR
2010
13 years 3 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...