376 search results - page 19 / 76 » Supervised dimensionality reduction using mixture models |
99
Voted
CORR
2010
Springer
14 years 11 months ago
2010
Springer
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
128
Voted
CIARP
2011
Springer
13 years 11 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 ...
ICML
2007
IEEE
16 years 16 days 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 ...
GECCO
2009
Springer
15 years 6 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...
ICPR
2008
IEEE
16 years 28 days 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...