225 search results - page 7 / 45 » Feature selection is the ReliefF for multiple instance learn... |
ISVC
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
JMLR
2010
14 years 4 months ago
2010
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
TKDE
2010
14 years 7 months ago
2010
In multiple-instance learning (MIL), an individual example is called an instance and a bag contains a single or multiple instances. The class labels available in the training set ...
72
Voted
EMNLP
2009
14 years 7 months ago
2009
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...