59 search results - page 2 / 12 » Multiple-Instance Learning of Real-Valued Data |
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
This paper introduces an approach for identifying predictive structures in relational data using the multiple-instance framework. By a predictive structure, we mean a structure th...
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....
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
In region-based image annotation, keywords are usually associated with images instead of individual regions in the training data set. This poses a major challenge for any learning...
NIPS
2003
14 years 10 months ago
2003
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...