118 search results - page 21 / 24 » Hierarchic Bayesian models for kernel learning |
COLING
2000
13 years 9 months ago
2000
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
ESWS
2008
Springer
13 years 9 months ago
2008
Springer
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
TSP
2008
13 years 6 months ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
MLMI
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Prosody has been actively studied as an important knowledge source for speech recognition and understanding. In this paper, we are concerned with the question of exploiti...
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
Given a large-scale linked document collection, such as a collection of blog posts or a research literature archive, there are two fundamental problems that have generated a lot o...