186 search results - page 16 / 38 » Learning directed probabilistic logical models from relation... |
110
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JMLR
2010
14 years 6 months ago
2010
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
143
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IDA
2008
Springer
14 years 11 months ago
2008
Springer
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
104
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ECCV
2004
Springer
16 years 1 months ago
2004
Springer
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
RECOMB
2004
Springer
15 years 12 months ago
2004
Springer
In this paper, we explore modeling overlapping biological processes. We discuss a probabilistic model of overlapping biological processes, gene membership in those processes, and ...