824 search results - page 109 / 165 » Learning probabilistic logic models from probabilistic examp... |
167
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AAAI
2012
13 years 6 months ago
2012
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
147
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
131
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EMNLP
2006
15 years 5 months ago
2006
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
120
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NN
2006
Springer
15 years 3 months ago
2006
Springer
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
143
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CVPR
2010
IEEE
16 years 3 days ago
2010
IEEE
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...