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» Learning Bayesian Networks from Incomplete Databases
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BMCBI
2010
229views more  BMCBI 2010»
13 years 11 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
UAI
2007
14 years 9 days ago
Aggregating Across Multiple Levels of Granularity to Meet Customer and Organizational Query Requirements
A research organization responds to a variety of customer requests. Each high level request is broken down into a set of low level requests. For each low level request, the resear...
Suzanne M. Mahoney
JIB
2006
220views more  JIB 2006»
13 years 11 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
ISMDA
2001
Springer
14 years 3 months ago
Using Bayesian Networks to Model Emergency Medical Services
Abstract. Due to the uncertain nature of many of the factors that influence on the performance of an emergency medical service, we propose using Bayesian networks to model this ki...
Silvia Acid, Luis M. de Campos, Susana Rodrí...
AGI
2011
13 years 2 months ago
Towards a General Vision System Based on Symbol-Relation Grammars and Bayesian Networks
Abstract. A novel approach to create a general vision system is presented. The proposed method is based on a visual grammar representation which is transformed to a Bayesian networ...
Elias Ruiz, Augusto Meléndez, Luis Enrique ...