Using greedy algorithm to learn graphical model for digit recognition
Graphical model, the marriage between graph theory and probability theory, has been drawing increasing attention because of its many attractive features. In this paper, we consider the problem of learning the structure of graphical model based on observed data through a greedy forward-backward algor...
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| Format: | Others |
| Language: | en |
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2015
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| Online Access: | http://hdl.handle.net/2152/28131 |