225 search results - page 1 / 45 » Feature selection is the ReliefF for multiple instance learn... |
ISDA
2010
IEEE
13 years 2 months ago
2010
IEEE
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more effective and efficient. Many different feature sel...
HAIS
2010
Springer
13 years 2 months ago
2010
Springer
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
CIBCB
2008
IEEE
13 years 11 months ago
2008
IEEE
— The genetic causes of many monogenic diseases have already been discovered. However, most common diseases are actually the result of complex nonlinear interactions between mult...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
PAMI
2006
13 years 4 months ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...