818 search results - page 10 / 164 » Regularized multi--task learning |
NIPS
2004
13 years 11 months ago
2004
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
NIPS
2003
13 years 11 months ago
2003
We address in this paper the question of how the knowledge of the marginal distribution P(x) can be incorporated in a learning algorithm. We suggest three theoretical methods for ...
COLT
2003
Springer
14 years 3 months ago
2003
Springer
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...