359 search results - page 12 / 72 » A Constrained Semi-supervised Learning Approach to Data Asso... |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We formalize the associative bandit problem framework introduced by Kaelbling as a learning-theory problem. The learning environment is modeled as a k-armed bandit where arm payof...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection...
SSDBM
2003
IEEE
14 years 1 months ago
2003
IEEE
Space constrained optimization problems arise in a multitude of important applications such as data warehouses and pervasive computing. A typical instance of such problems is to s...
DAWAK
2008
Springer
13 years 9 months ago
2008
Springer
In many application domains, classification tasks have to tackle multiclass imbalanced training sets. We have been looking for a CBA approach (Classification Based on Association r...
AAAI
2006
13 years 9 months ago
2006
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...