225 search results - page 10 / 45 » Feature selection is the ReliefF for multiple instance learn... |
NIPS
2008
14 years 11 months ago
2008
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
NIPS
2004
14 years 11 months ago
2004
We address the problem of identifying specific instances of a class (cars) from a set of images all belonging to that class. Although we cannot build a model for any particular in...
ICML
1994
IEEE
15 years 1 months ago
1994
IEEE
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...