6 search results - page 1 / 2 » Multi-instance learning by treating instances as non-I.I.D. ... |
AAAI
2010
13 years 2 months ago
2010
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many ...
AAAI
2010
13 years 6 months ago
2010
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Previous studies on multi-instance learning typically treated instances in the bags as independently and identically distributed. The instances in a bag, however, are rarely indep...
JMLR
2010
12 years 11 months ago
2010
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
ESOP
2011
Springer
12 years 8 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...