144 search results - page 2 / 29 » Bayesian Gaussian Process Classification with the EM-EP Algo... |
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
PRL
2008
13 years 4 months ago
2008
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
NIPS
2004
13 years 6 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
ICIP
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper presents an efficient compression-oriented segmentation algorithm for computer-generated document images. In this algorithm, a document image is represented in a block-...