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ECML
2007
Springer
13 years 11 months ago
Multi-objective Genetic Programming for Multiple Instance Learning
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
Amelia Zafra, Sebastián Ventura
PAMI
2006
206views more  PAMI 2006»
13 years 5 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
DIS
2009
Springer
13 years 12 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
ICML
2001
IEEE
14 years 6 months ago
Multiple-Instance Learning of Real-Valued Data
Robert A. Amar, Daniel R. Dooly, Sally A. Goldman,...