376 search results - page 19 / 76 » Supervised dimensionality reduction using mixture models |
132
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
171
Voted
CIARP
2011
Springer
14 years 3 months ago
2011
Springer
Abstract. In this paper, we address the problem of opinion analysis using a probabilistic approach to the underlying structure of different types of opinions or sentiments around ...
119
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
123
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
We present a probabilistic formulation of UCS (a sUpervised Classifier System). UCS is shown to be a special case of mixture of experts where the experts are learned independentl...
109
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data distribution. We first propo...