166 search results - page 3 / 34 » On Learning Mixtures of Heavy-Tailed Distributions |
COLT
2005
Springer
13 years 11 months ago
2005
Springer
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
FOCS
2005
IEEE
13 years 11 months ago
2005
IEEE
We consider the problem of learning mixtures of product distributions over discrete domains in the distribution learning framework introduced by Kearns et al. [18]. We give a poly...
CORR
2006
Springer
13 years 5 months ago
2006
Springer
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
There is a range of potential applications of Machine Learning where it would be more useful to predict the probability distribution for a variable rather than simply the most lik...
FGCN
2008
IEEE
13 years 7 months ago
2008
IEEE
We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal expr...