662 search results - page 81 / 133 » Making inferences with small numbers of training sets |
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
ICCV
2005
IEEE
14 years 10 months ago
2005
IEEE
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
FLAIRS
2006
13 years 10 months ago
2006
The main contribution of this paper is to suggest a novel technique for automatic creation of accurate ensembles. The technique proposed, named GEMS, first trains a large number o...
JMLR
2010
13 years 3 months ago
2010
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
AUSAI
2001
Springer
14 years 16 days ago
2001
Springer
A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...