24 search results - page 1 / 5 » Multi-instance multi-label learning |
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
AAAI
2012
11 years 9 months ago
2012
In many real applications, especially those involving data objects with complicated semantics, it is generally desirable to discover the relation between patterns in the input spa...
ECIR
2009
Springer
13 years 5 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
JCST
2006
13 years 7 months ago
2006
Abstract In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. This pa...
LOCA
2009
Springer
14 years 22 hour ago
2009
Springer
Abstract. Activity recognition has attracted increasing attention in recent years due to its potential to enable a number of compelling contextaware applications. As most approache...