791 search results - page 61 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
ICANN
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
LREC
2008
13 years 10 months ago
2008
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
ISNN
2007
Springer
14 years 2 months ago
2007
Springer
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
GECCO
2006
Springer
14 years 14 days ago
2006
Springer
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
We present a novel probabilistic framework for rigid tracking and segmentation of shapes observed from multiple cameras. Most existing methods have focused on solving each of thes...