508 search results - page 23 / 102 » Learning for stochastic dynamic programming |
109
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AUTOMATICA
2008
15 years 2 months ago
2008
In this work, probabilistic reachability over a finite horizon is investigated for a class of discrete time stochastic hybrid systems with control inputs. A suitable embedding of ...
134
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NIPS
1998
15 years 3 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
127
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ICIP
2007
IEEE
16 years 3 months ago
2007
IEEE
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
152
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ILP
2004
Springer
15 years 7 months ago
2004
Springer
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
127
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JPDC
2006
15 years 1 months ago
2006
Virtualization provides a vehicle to manage the available resources and enhance their utilization in network computing. System dynamics requires virtual machines be distributed an...