167 search results - page 7 / 34 » Bayesian Classification and Feature Selection from Finite Da... |
104
Voted
PRL
2000
14 years 9 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
79
Voted
CIMCA
2005
IEEE
15 years 3 months ago
2005
IEEE
The classification task is one of the most important problems in the area of data mining. In this paper we propose a new algorithm for addressing this problem. The main idea deriv...
118
Voted
ESANN
2006
14 years 11 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
111
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KDD
2008
ACM
15 years 10 months ago
2008
ACM
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
82
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...