67 search results - page 1 / 14 » Learning a meta-level prior for feature relevance from multi... |
13
Voted
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
DAGM
2009
Springer
13 years 11 months ago
2009
Springer
The human ability to learn difficult object categories from just a few views is often explained by an extensive use of knowledge from related classes. In this work we study the use...
SDM
2007
SIAM
13 years 5 months ago
2007
SIAM
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
DAGSTUHL
2007
13 years 5 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...