105 search results - page 1 / 21 » Learning with Tree-Averaged Densities and Distributions |
72
Voted
NIPS
2007
15 years 11 days ago
2007
We utilize the ensemble of trees framework, a tractable mixture over superexponential number of tree-structured distributions [1], to develop a new model for multivariate density ...
COLT
2007
Springer
15 years 5 months ago
2007
Springer
We consider on-line density estimation with the multivariate Gaussian distribution. In each of a sequence of trials, the learner must posit a mean µ and covariance Σ; the learner...
ICDCS
2007
IEEE
15 years 5 months ago
2007
IEEE
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
ICML
2005
IEEE
15 years 11 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...
76
Voted
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...