32 search results - page 2 / 7 » Semi-supervised learning for structured output variables |
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
JMLR
2012
11 years 8 months ago
2012
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
PKDD
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
ECML
2006
Springer
13 years 9 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...