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» Inference in Bayesian Networks
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107
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ICASSP
2009
IEEE
15 years 9 months ago
A Bayesian NETWORKS approach for dialog modeling: The fusion BN
Bayesian Networks, BNs, are suitable for mixed-initiative dialog modeling allowing a more flexible and natural spoken interaction. This solution can be applied to identify the in...
Fernando F. Fernández-Martínez, Javi...
114
Voted
SEMWEB
2007
Springer
15 years 8 months ago
An Ontology-based Bayesian Network Approach for Representing Uncertainty in Clinical Practice Guidelines
Clinical Practice Guidelines (CPGs) play an important role in improving the quality of care and patient outcomes. Although several machine-readable representations of practice guid...
Hai-Tao Zheng, Bo-Yeong Kang, Hong-Gee Kim
125
Voted
IDEAL
2004
Springer
15 years 8 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 ...
146
Voted
BIBE
2009
IEEE
185views Bioinformatics» more  BIBE 2009»
15 years 7 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
125
Voted
ICASSP
2009
IEEE
15 years 11 days ago
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
Marie-Jean Meurs, Fabrice Lefevre, Renato de Mori