61 search results - page 1 / 13 » A Spectral Regularization Framework for Multi-Task Structure... |
NIPS
2007
13 years 5 months ago
2007
Learning the common structure shared by a set of supervised tasks is an important practical and theoretical problem. Knowledge of this structure may lead to better generalization ...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
COLT
2008
Springer
13 years 6 months ago
2008
Springer
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
ACL
2009
13 years 2 months ago
2009
Creating labeled training data for relation extraction is expensive. In this paper, we study relation extraction in a special weakly-supervised setting when we have only a few see...