1351 search results - page 206 / 271 » Learning from compressed observations |
148
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NIPS
2008
15 years 5 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
123
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MICCAI
2008
Springer
16 years 5 months ago
2008
Springer
We study the problem of classifying an autistic group from controls using structural image data alone, a task that requires a clinical interview with a psychologist. Because of the...
132
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
119
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
154
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TEI
2010
ACM
15 years 11 months ago
2010
ACM
This paper describes Kinematics: a novel construction toy for children consisting of both active (shape-changing or rotating) and passive building blocks. In comparison to similar...