791 search results - page 11 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
COLT
1994
Springer
14 years 1 months ago
1994
Springer
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
CVPR
2001
IEEE
14 years 11 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
DAWAK
2006
Springer
14 years 19 days ago
2006
Springer
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
LWA
2004
13 years 10 months ago
2004
An ontology is a speci...cation of a conceptualization, a shared understanding of some domain of interest. The paper develops an algorithm that hierarchically groups words together...