Sciweavers

447 search results - page 49 / 90
» Explaining inferences in Bayesian networks
Sort
View
IJCAI
2007
13 years 9 months ago
Compiling Bayesian Networks Using Variable Elimination
Compiling Bayesian networks has proven an effective approach for inference that can utilize both global and local network structure. In this paper, we define a new method of comp...
Mark Chavira, Adnan Darwiche
ICASSP
2009
IEEE
14 years 2 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...
IDEAL
2004
Springer
14 years 1 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 ...
BIBE
2009
IEEE
185views Bioinformatics» more  BIBE 2009»
14 years 23 days 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
SEMWEB
2007
Springer
14 years 1 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