1106 search results - page 63 / 222 » On regularization algorithms in learning theory |
157
click to vote
KDD
2010
ACM
15 years 8 months ago
2010
ACM
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
168
click to vote
NIPS
2000
15 years 6 months ago
2000
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
127
click to vote
MPC
1998
Springer
15 years 9 months ago
1998
Springer
A nested datatype, also known as a non-regular datatype, is a parametrised datatype whose declaration involves different instances of the accompanying type parameters. Nested datat...
166
click to vote
NIPS
2008
15 years 6 months ago
2008
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...
162
click to vote
NIPS
2001
15 years 6 months ago
2001
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...