769 search results - page 33 / 154 » Bayesian Generalized Kernel Models |
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
ACL
2006
14 years 11 days ago
2006
We propose a new hierarchical Bayesian n-gram model of natural languages. Our model makes use of a generalization of the commonly used Dirichlet distributions called Pitman-Yor pr...
ICPR
2002
IEEE
15 years 1 days ago
2002
IEEE
This paper investigates the use of the Bayesian inference for devising an example-based rendering procedure. As prior model of this Bayesian inference, we exploit the multiscale n...
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...