662 search results - page 81 / 133 » Making inferences with small numbers of training sets |
110
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ICML
2005
IEEE
16 years 2 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 ...
119
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ICCV
2005
IEEE
16 years 3 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
15 years 3 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...
124
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JMLR
2010
14 years 8 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...
109
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AUSAI
2001
Springer
15 years 5 months 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...