3236 search results - page 103 / 648 » Active kernel learning |
ICML
2005
IEEE
14 years 12 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
ECML
2003
Springer
14 years 4 months ago
2003
Springer
Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing state...
NIPS
2004
14 years 16 days ago
2004
We formulate the problem of graph inference where part of the graph is known as a supervised learning problem, and propose an algorithm to solve it. The method involves the learni...
ICIP
2003
IEEE
15 years 23 days ago
2003
IEEE
In this paper, we describe a retrieval system that uses hidden annotation to improve the performance. The contribution of this paper is a novel active learning framework that can ...
COLING
2008
14 years 18 days ago
2008
Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...