683 search results - page 46 / 137 » Generalization Bounds for Learning Kernels |
BMCBI
2004
13 years 8 months ago
2004
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
ALT
2008
Springer
14 years 5 months ago
2008
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
KDD
2000
ACM
14 years 2 days ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
ILP
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. This paper is concerned with generalization issues for a decision tree learner for structured data called Alkemy. Motivated by error bounds established in statistical lea...
COLT
2008
Springer
13 years 10 months ago
2008
Springer
We describe and explore a new perspective on the sample complexity of active learning. In many situations where it was generally believed that active learning does not help, we sh...