1012 search results - page 142 / 203 » A Learning Classifier Approach to Tomography |
104
Voted
CORR
2002
Springer
15 years 12 days ago
2002
Springer
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
105
Voted
ICIP
2010
IEEE
14 years 10 months ago
2010
IEEE
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
123
Voted
ICTAI
2010
IEEE
14 years 10 months ago
2010
IEEE
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or ...
78
Voted
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
113
Voted
GECCO
2008
Springer
15 years 1 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...