1406 search results - page 25 / 282 » Learning Pseudo-independent Models: Analytical and Experimen... |
JMLR
2010
14 years 4 months ago
2010
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
ICPR
2002
IEEE
15 years 2 months ago
2002
IEEE
This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
IJCAI
2007
14 years 11 months ago
2007
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...
NIPS
2007
14 years 11 months ago
2007
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
CORR
2000
Springer
14 years 9 months ago
2000
Springer
A SNoW based learning approach to shallow parsing tasks is presented and studied experimentally. The approach learns to identify syntactic patterns by combining simple predictors ...