118 search results - page 4 / 24 » Hierarchic Bayesian models for kernel learning |
JMLR
2010
13 years 2 months ago
2010
In this paper, we consider the asymptotic form of the generalization error for the restricted Boltzmann machine in Bayesian estimation. It has been shown that obtaining the maximu...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...
ICML
2004
IEEE
14 years 8 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...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...