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SEMWEB
2005
Springer
15 years 6 months ago
A Bayesian Network Approach to Ontology Mapping
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
Rong Pan, Zhongli Ding, Yang Yu, Yun Peng
108
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IDEAL
2004
Springer
15 years 6 months ago
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak ...
IDA
2003
Springer
15 years 6 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
128
Voted
BIBE
2009
IEEE
185views Bioinformatics» more  BIBE 2009»
15 years 5 months ago
Anomaly-free Prediction of Gene Ontology Annotations Using Bayesian Networks
Gene and protein structural and functional annotations expressed through controlled terminologies and ontologies are paramount especially for the aim of inferring new biomedical k...
Marco Tagliasacchi, Marco Masseroli
PKDD
2009
Springer
146views Data Mining» more  PKDD 2009»
15 years 5 months ago
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
Eva Besada-Portas, Sergey M. Plis, Jesús Ma...