187 search results - page 16 / 38 » Conditional random fields for multi-agent reinforcement lear... |
123
Voted
ACL
2006
15 years 1 months ago
2006
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
161
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SIAMIS
2010
14 years 6 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
86
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NIPS
2003
15 years 1 months ago
2003
In this paper we present Discriminative Random Fields (DRF), a discriminative framework for the classification of natural image regions by incorporating neighborhood spatial depe...
AIA
2007
15 years 1 months ago
2007
This paper introduces a machine learning approach into the process of direct volume rendering of biomedical highresolution 3D images. More concretely, it proposes a learning pipel...
119
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JMLR
2012
13 years 2 months ago
2012
We present the first PAC bounds for learning parameters of Conditional Random Fields [12] with general structures over discrete and real-valued variables. Our bounds apply to com...