410 search results - page 7 / 82 » MILIS: Multiple Instance Learning with Instance Selection |
DIS
2009
Springer
14 years 2 months ago
2009
Springer
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 ...
ECML
2004
Springer
14 years 29 days ago
2004
Springer
In this paper we present a boosting approach to multiple instance learning. As weak hypotheses we use balls (with respect to various metrics) centered at instances of positive bags...
ML
2010
ACM
13 years 6 months ago
2010
ACM
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
This paper introduces multiple instance regression, a variant of multiple regression in which each data point may be described by more than one vector of values for the independen...