1368 search results - page 144 / 274 » Logical Hidden Markov Models |
151
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JMLR
2010
14 years 10 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
138
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ATVA
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Dynamic fault trees (DFTs) are a versatile and common formalism to model and analyze the reliability of computer-based systems. This paper presents a formal semantics of ...
144
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JCP
2008
15 years 3 months ago
2008
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
171
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ICDAR
2011
IEEE
14 years 3 months ago
2011
IEEE
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
154
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ICIP
2007
IEEE
16 years 5 months ago
2007
IEEE
This paper describes an original method for classifying object motion trajectories in video sequences in order to recognize dynamic events. Similarities between trajectories are e...