11 search results - page 1 / 3 » Clustered Multi-Task Learning: A Convex Formulation |
NIPS
2008
13 years 6 months ago
2008
In multi-task learning several related tasks are considered simultaneously, with the hope that by an appropriate sharing of information across tasks, each task may benefit from th...
SIAMJO
2010
12 years 11 months ago
2010
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
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
2008
IEEE
14 years 5 months ago
2008
IEEE
A recent trend in exemplar based unsupervised learning is to formulate the learning problem as a convex optimization problem. Convexity is achieved by restricting the set of possi...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Relational data appear frequently in many machine learning applications. Relational data consist of the pairwise relations (similarities or dissimilarities) between each pair of i...