518 search results - page 6 / 104 » Learning associative Markov networks |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
AIIA
2003
Springer
14 years 2 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
ICIP
2004
IEEE
14 years 10 months ago
2004
IEEE
The work presents the first effort to automatically annotate the semantic meanings of temporal video patterns obtained through unsupervised discovery processes. This problem is in...
ECAL
2003
Springer
14 years 2 months ago
2003
Springer
Abstract. Structural hallmarks of language can be explained in terms of adaptation, by language, to pressures arising during its cultural transmission. Here I present a model which...
PAMI
2006
13 years 8 months ago
2006
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...