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UAI
2003
15 years 7 months ago
Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
Darya Chudova, Scott Gaffney, Padhraic Smyth
UAI
2004
15 years 7 months ago
Iterative Conditional Fitting for Gaussian Ancestral Graph Models
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
Mathias Drton, Thomas S. Richardson
JSAC
1998
126views more  JSAC 1998»
15 years 6 months ago
Iterative Decoding of Compound Codes by Probability Propagation in Graphical Models
Abstract—We present a unified graphical model framework for describing compound codes and deriving iterative decoding algorithms. After reviewing a variety of graphical models (...
Frank R. Kschischang, Brendan J. Frey
ICAI
2009
15 years 4 months ago
BayesOWL: A Prototype System for Uncertainty in Semantic Web
: Previously we have proposed a theoretical framework, called BayesOWL, to model uncertainty in semantic web ontologies based on Bayesian networks. In particular, we have developed...
Shenyong Zhang, Yi Sun, Yun Peng, Xiaopu Wang
IAAI
2003
15 years 7 months ago
A Probabilistic Vehicle Diagnostic System Using Multiple Models
In addition to being accurate, it is important that diagnostic systems for use in automobiles also have low development and hardware costs. Model-based methods have shown promise ...
Matthew L. Schwall, J. Christian Gerdes, Bernard B...