775 search results - page 119 / 155 » First-order probabilistic inference |
113
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ICMLA
2007
15 years 2 months ago
2007
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
130
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NIPS
2008
15 years 2 months ago
2008
Principal Components Analysis (PCA) has become established as one of the key tools for dimensionality reduction when dealing with real valued data. Approaches such as exponential ...
109
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ACL
2006
15 years 2 months ago
2006
There are two decoding algorithms essential to the area of natural language processing. One is the Viterbi algorithm for linear-chain models, such as HMMs or CRFs. The other is th...
NIPS
2004
15 years 2 months ago
2004
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and gener...
94
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UAI
2004
15 years 2 months ago
2004
We characterize probabilities in Bayesian networks in terms of algebraic expressions called quasi-probabilities. These are arrived at by casting Bayesian networks as noisy AND-OR-...