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» An Instance Selection Approach to Multiple Instance Learning
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ICML
2005
IEEE
15 years 10 months ago
Supervised versus multiple instance learning: an empirical comparison
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
Soumya Ray, Mark Craven
86
Voted
IWANN
2007
Springer
15 years 3 months ago
Multiple Instance Learning with Genetic Programming for Web Mining
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...
Amelia Zafra, Sebastián Ventura, Enrique He...
73
Voted
ICML
2008
IEEE
15 years 10 months ago
Multiple instance ranking
This paper introduces a novel machine learning model called multiple instance ranking (MIRank) that enables ranking to be performed in a multiple instance learning setting. The mo...
Charles Bergeron, Jed Zaretzki, Curt M. Breneman, ...
58
Voted
PRL
2008
82views more  PRL 2008»
14 years 9 months ago
Optimistic pruning for multiple instance learning
This paper introduces a simple evaluation function for multiple instance learning that admits an optimistic pruning strategy. We demonstrate comparable results to state of the art...
Amy McGovern, David Jensen
CVPR
2006
IEEE
15 years 1 months ago
Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning
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...
Changbo Yang, Ming Dong, Jing Hua