613 search results - page 10 / 123 » Learning the Structure of Linear Latent Variable Models |
124
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ESANN
2008
15 years 4 months ago
2008
In this paper, we propose a new methodology to build latent variables that are optimal if a nonlinear model is used afterward. This method is based on Nonparametric Noise Estimatio...
JMLR
2010
14 years 10 months ago
2010
120
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ICDM
2005
IEEE
15 years 8 months ago
2005
IEEE
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
170
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ICCV
2011
IEEE
14 years 3 months ago
2011
IEEE
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
182
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AROBOTS
2011
14 years 10 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...