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CORR
2010
Springer
13 years 8 months ago
2010
Springer
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
JAIR
2011
13 years 3 months ago
2011
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
NIPS
2008
13 years 9 months ago
2008
We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores. Combining approximate Bayesian inference and natural ima...
AAAI
1998
13 years 9 months ago
1998
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
PCM
2004
Springer
14 years 1 months ago
2004
Springer
Content adaptation is an effective solution to support the quality of service for multimedia services over heterogeneous networks. This paper deals with the accuracy and the real-...