1854 search results - page 186 / 371 » On Kernel Methods for Relational Learning |
132
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
121
Voted
AI
2001
Springer
15 years 8 months ago
2001
Springer
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
128
Voted
ESANN
2007
15 years 5 months ago
2007
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
136
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper we propose a novel image contrast enhancement method using collaborative learning. Block-based histogram equalization methods such as contrast limited adaptive histo...
143
Voted
ATAL
2009
Springer
15 years 10 months ago
2009
Springer
The field of transfer learning aims to speed up learning across multiple related tasks by transferring knowledge between source and target tasks. Past work has shown that when th...