824 search results - page 92 / 165 » Learning probabilistic logic models from probabilistic examp... |
157
Voted
VLSID
2005
IEEE
16 years 4 months ago
2005
IEEE
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
121
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SGAI
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we describe a novel technique which implements a spatiotemporal model as a set of sub-models based on first order logic. These sub-models model different, typicall...
190
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DLOG
2011
14 years 7 months ago
2011
Abstract. For a number of problems, such as ontology learning or image labeling, we need to handle uncertainty and inconsistencies in an appropriate way. Fuzzy and Probabilistic De...
139
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CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
151
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NIPS
1998
15 years 5 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 ...