Learning Bayesian Networks from Incomplete Data: An Efficient Method for Generating Approximate Predictive Distributions Abstract

by Carsten Riggelsen
Citations:1 - 1 self

Active Bibliography

564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
unknown title – Silvia Acid, Luis M. De Campos, Juan F. Huete - 2000
Learning Bayesian Network Models from Incomplete Data using – Importance Sampling Carsten
176 The Bayes Net Toolbox for MATLAB – Kevin P. Murphy - 2001
18 Learning recursive Bayesian multinets for data clustering by means of constructive induction – J.M. Peña, J.A. Lozano, P. Larrañaga - 2001
1 A Study on the Evolution of Bayesian Network Graph Structures – Jorge Muruzabal, Carlos Cotta
3 Learning Bayesian Networks for Solving Real-World Problems – Moninder Singh - 1998
Bayesian Belief Networks for Dementia Diagnosis and Other Applications: A Comparison of Hand-Crafting and Construction using A Novel Data Driven Technique – Lloyd Oteniya, Lloyd Oteniya
120 Learning Belief Networks in the Presence of Missing Values and Hidden Variables – Nir Friedman - 1997
15 Searching for Bayesian Network Structures in the Space of Restricted Acyclic Aprtially Directed Graphs – Silva Acid, Luis M. de Campos - 2003
12 Learning Bayes net structure from sparse data sets – Kevin P. Murphy - 2001
9 Exploiting parameter domain knowledge for learning in Bayesian networks – Radu Stefan Niculescu - 2005
14 Theory refinement of bayesian networks with hidden variables – Sowmya Ramachandran - 1998
5 Scaled CGEM: A Fast Accelerated EM – Jörg Fischer, Kristian Kersting - 2003
13 Parameter Learning in Object Oriented Bayesian Networks – Helge Langseth, Olav Bangsø - 2001
9 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains – Helge Langseth, Thomas D. Nielsen, Richard Dybowski - 2003
Proposed design for gR, a graphical models toolkit for R – Kevin P. Murphy - 2003
157 Modelling gene expression data using dynamic bayesian networks – Kevin Murphy, Saira Mian - 1999
3 Towards an inclusion driven learning of Bayesian Networks – Robert Castelo, Tomas Kocka - 2002