359 search results - page 12 / 72 » A Constrained Semi-supervised Learning Approach to Data Asso... |
147
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ICML
2006
IEEE
16 years 6 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...
162
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SDM
2008
SIAM
15 years 7 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...
162
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SSDBM
2003
IEEE
15 years 11 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...
141
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DAWAK
2008
Springer
15 years 7 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...
176
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AAAI
2006
15 years 7 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...