323 search results - page 19 / 65 » An Importance Sampling Algorithm Based on Evidence Pre-propa... |
ISNN
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In statistical pattern recognition, it is important to estimate true distribution of patterns precisely to obtain high recognition accuracy. Normal mixtures are sometimes used for...
WS
2004
ACM
14 years 27 days ago
2004
ACM
Title of Thesis: DISTRIBUTED TRUST EVALUATION IN AD-HOC NETWORKS Georgios E. Theodorakopoulos, Master of Science, 2004 Thesis directed by: Professor John S. Baras Department of El...
ACIVS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
IJCAI
1993
13 years 8 months ago
1993
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...