521 search results - page 42 / 105 » Sparse probabilistic classifiers |
AIIA
2003
Springer
13 years 11 months ago
2003
Springer
The aim of this paper is to show how abduction can be used in classification tasks when we deal with incomplete data. Some classifiers, even if based on decision tree induction lik...
NIPS
2007
13 years 9 months ago
2007
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
ICMCS
2009
IEEE
13 years 5 months ago
2009
IEEE
In this work is presented a novel approach for the classification of audio concepts in broadcast soccer videos using deep belief network (DBN), a probabilistic neural network with...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
ISDA
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper we compared the performance of the Automatic Data Reduction System (ADRS) and principal component analysis (PCA) as a preprocessor to artificial neural networks (ANN...