818 search results - page 26 / 164 » Regularized multi--task learning |
ALT
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
NIPS
2008
13 years 11 months ago
2008
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
IEICET
2007
13 years 9 months ago
2007
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
NIPS
2008
13 years 11 months ago
2008
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...