79 search results - page 5 / 16 » Nonparametric Bayesian feature selection for multi-task lear... |
JMLR
2010
13 years 2 months ago
2010
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
AAAI
2008
13 years 9 months ago
2008
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
ESSMAC
2003
Springer
14 years 23 days ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
NIPS
2003
13 years 9 months ago
2003
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...