445 search results - page 61 / 89 » Classifying model-theoretic properties |
MICCAI
2006
Springer
14 years 10 months ago
2006
Springer
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
IPMI
2003
Springer
14 years 10 months ago
2003
Springer
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
Feature selection is often applied to highdimensional data prior to classification learning. Using the same training dataset in both selection and learning can result in socalled ...
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...