1164 search results - page 6 / 233 » A Model Selection Approach for Local Learning |
DAGM
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...
ACL
2010
13 years 5 months ago
2010
In predicate-argument structure analysis, it is important to capture non-local dependencies among arguments and interdependencies between the sense of a predicate and the semantic...
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
ICMLA
2009
13 years 5 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...