521 search results - page 80 / 105 » Approximation Algorithms for Stochastic Inventory Control Mo... |
MICCAI
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. We propose a novel probabilistic framework to merge information from DWI tractography and resting-state fMRI correlations. In particular, we model the interaction of late...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
EVOW
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
ICML
1996
IEEE
15 years 10 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
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AAAI
2000
14 years 11 months ago
2000
Given a model of a physical process and a sequence of commands and observations received over time, the task of an autonomous controller is to determine the likely states of the p...