1766 search results - page 29 / 354 » Classifier Selection Based on Data Complexity Measures |
SMC
2007
IEEE
15 years 4 months ago
2007
IEEE
— An important consideration in clustering is the determination of the correct number of clusters and the appropriate partitioning of a given data set. In this paper, a newly dev...
ICMLA
2008
14 years 11 months ago
2008
This article presents a method for the calculating similarity of two trajectories. The method is especially designed for a situation where the points of the trajectories are distr...
ADMA
2006
Springer
15 years 3 months ago
2006
Springer
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
BMCBI
2006
14 years 9 months ago
2006
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
In this paper we present a method for the selection of training instances based on the classification accuracy of a SVM classifier. The instances consist of feature vectors repres...