1180 search results - page 37 / 236 » An Instance Selection Approach to Multiple Instance Learning |
AAAI
2010
13 years 10 months ago
2010
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
MMM
2007
Springer
14 years 3 months ago
2007
Springer
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
SIGIR
2010
ACM
14 years 22 days ago
2010
ACM
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
OTM
2009
Springer
14 years 3 months ago
2009
Springer
IT projects often face the challenge of harmonizing metadata and data so as to have a “single” version of the truth. Determining equivalency of multiple data instances against ...