148 search results - page 1 / 30 » Bounds for Linear Multi-Task Learning |
JMLR
2006
14 years 9 months ago
2006
Abstract. We give dimension-free and data-dependent bounds for linear multi-task learning where a common linear operator is chosen to preprocess data for a vector of task speci...c...
NIPS
2008
14 years 11 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...
COLT
1995
Springer
15 years 1 months ago
1995
Springer
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We present a general PAC-Bayes theorem from which all known PAC-Bayes risk bounds are obtained as particular cases. We also propose different learning algorithms for finding linea...
NIPS
2008
14 years 11 months ago
2008
This work characterizes the generalization ability of algorithms whose predictions are linear in the input vector. To this end, we provide sharp bounds for Rademacher and Gaussian...