181 search results - page 2 / 37 » Polynomial Learning of Distribution Families |
ALT
2010
Springer
13 years 6 months ago
2010
Springer
Known algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability
COLT
2003
Springer
13 years 10 months ago
2003
Springer
We consider three natural models of random logarithmic depth decision trees over Boolean variables. We give an efficient algorithm that for each of these models learns all but an ...
Presentation
Presentation of the exponential families, of the mixtures of such distributions and how to learn it. We then present algorithms to simplify mixture model, using Kullback-Leibler di...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
ALT
1999
Springer
13 years 9 months ago
1999
Springer
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...