1180 search results - page 14 / 236 » An Instance Selection Approach to Multiple Instance Learning |
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 ...
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...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
TKDE
2010
13 years 6 months ago
2010
In multiple-instance learning (MIL), an individual example is called an instance and a bag contains a single or multiple instances. The class labels available in the training set ...