70 search results - page 3 / 14 » BAYDA: Software for Bayesian Classification and Feature Sele... |
115
Voted
GRC
2010
IEEE
14 years 11 months ago
2010
IEEE
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality clas...
131
Voted
PRL
2000
15 years 27 days 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...
123
Voted
SSPR
2004
Springer
15 years 6 months ago
2004
Springer
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
109
Voted
ICPR
2010
IEEE
14 years 11 months ago
2010
IEEE
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
122
Voted
AAAI
2008
15 years 3 months ago
2008
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...