37 search results - page 1 / 8 » Active Learning for Probability Estimation Using Jensen-Shan... |
ECML
2005
Springer
13 years 10 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
In this paper, we propose a novel and robust algorithm for the groupwise non-rigid registration of multiple unlabeled point-sets with no bias toward any of the given pointsets. To...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Estimating divergence between two point processes, i.e. probability laws on the space of spike trains, is an essential tool in many computational neuroscience applications, such a...
MCS
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
ECML
2006
Springer
13 years 9 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...