166 search results - page 26 / 34 » On Learning Mixtures of Heavy-Tailed Distributions |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...
IEEEIAS
2007
IEEE
14 years 2 months ago
2007
IEEE
Generative models of pattern individuality attempt to represent the distribution of observed quantitative features, e.g., by learning parameters from a database, and then use such...
JAIR
2008
13 years 8 months ago
2008
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
FGR
2004
IEEE
14 years 9 days ago
2004
IEEE
Due to variations of lighting conditions, camera hardware settings, and the range of skin coloration among human beings, a pre-defined skin-color model cannot accurately capture t...
JAIR
2006
13 years 8 months ago
2006
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...