704 search results - page 61 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
118
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HUC
2010
Springer
15 years 24 days ago
2010
Springer
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit ...
122
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JMLR
2010
14 years 7 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
103
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RECOMB
2003
Springer
16 years 28 days ago
2003
Springer
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
104
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ICCV
2007
IEEE
15 years 7 months ago
2007
IEEE
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
NIPS
2003
15 years 2 months ago
2003
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...