59 search results - page 5 / 12 » A Latent Variable Model for Geographic Lexical Variation |
COLING
2010
13 years 2 months ago
2010
Recent work on distributional methods for similarity focuses on using the context in which a target word occurs to derive context-sensitive similarity computations. In this paper ...
ML
2012
ACM
12 years 3 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
BMCBI
2008
13 years 8 months ago
2008
Background: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projectio...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...