On Bayesian network approximation by edge deletion (original) (raw)

Bayesian Network Inference Using Marginal Trees

jhonatan Oliveira

Lecture Notes in Computer Science, 2014

View PDFchevron_right

Approximations of Bayesian networks through KL minimisation

Wim Wiegerinck

New Generation Computing, 2000

View PDFchevron_right

Approximate inference algorithms for two-layer Bayesian networks

Michael Jordan

Nips, 2000

View PDFchevron_right

Bayesian Network Inference with Simple Propagation

jhonatan Oliveira

2016

View PDFchevron_right

Expectation Propogation for Approximate Inference in Dynamic Bayesian Networks

Tom Heskes

Uncertainty in Artificial Intelligence, 2002

View PDFchevron_right

Approximate inference in Bayesian networks using binary probability trees

Manuel Ángel Gomez Cruz

International Journal of Approximate Reasoning, 2011

View PDFchevron_right

Pruning Bayesian networks for efficient computation

John S Breese

1990

View PDFchevron_right

An Empirical Evaluation of Costs and Benefits of Simplifying Bayesian Networks by Removing Weak Arcs

Parot Ratnapinda

View PDFchevron_right

An empirical study of Bayesian network inference with simple propagation

jhonatan Oliveira

International Journal of Approximate Reasoning, 2018

View PDFchevron_right

Fast factorisation of probabilistic potentials and its application to approximate inference in Bayesian networks

Cora B. Perez-Ariza

ual.es

View PDFchevron_right

Bayesian network sensitivity to arc-removal

Silja Renooij

View PDFchevron_right

A simple approach to Bayesian network computations

David Poole

PROCEEDINGS OF THE BIENNIAL CONFERENCE- …, 1994

View PDFchevron_right

Extended Version of \Expectation propagation for approximate inference in dynamic Bayesian networks

Tom Heskes

2000

View PDFchevron_right

Confidence Inference in Bayesian Networks

Marek Druzdzel

2001

View PDFchevron_right

Decomposing local probability distributions in Bayesian networks for improved inference and parameter learning

A. Zagorecki, M. Voortman, Marek Druzdzel

2006

View PDFchevron_right

Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network

David Heckerman

Uncertainty in Artificial Intelligence, 1996

View PDFchevron_right

Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables

David Heckerman

Machine Learning, 1997

View PDFchevron_right

Propagating imprecise probabilities in Bayesian networks

Gernot Kleiter

Artificial Intelligence, 1996

View PDFchevron_right

Probabilistic Inferences in Bayesian Networks

Jianguo Ding

Computing Research Repository, 2010

View PDFchevron_right

An optimal approximation algorithm for Bayesian inference

Paul Dagum

Artificial Intelligence, 1997

View PDFchevron_right

Approximating Probabilistic Inference in Bayesian Belief Networks

Paul Dagum

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993

View PDFchevron_right

Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation

Giuseppe Jurman

Journal of Complex Networks, 2014

View PDFchevron_right

Approximate Inference for Infinite Contingent Bayesian Networks

Stuart J. Russell

View PDFchevron_right

An empirical study of w-cutset sampling for bayesian networks

Rina Dechter

2002

View PDFchevron_right

Sparse Factorization Methods for Inference in Bayesian Networks

Julio M Stern

AIP Conference Proceedings, 2008

View PDFchevron_right

The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks

Hans Bodlaender

European Conference on Artificial Intelligence, 2010

View PDFchevron_right

Factorisation of probability trees and its application to inference in Bayesian networks

Antonio Salmerón

2002

View PDFchevron_right

A scheme for approximating probabilistic inference

Rina Dechter

1997

View PDFchevron_right

Tractable Inference in Hybrid Bayesian Networks with Deterministic Conditionals using Re-approximations

Antonio Salmerón

2012

View PDFchevron_right

The Most Probable Bayesian Network and Beyond

Tomi Silander

2009

View PDFchevron_right

Cutset Sampling for Bayesian Networks

Rina Dechter

Journal of Artificial Intelligence Research, 2007

View PDFchevron_right

Cumulant expansions for improved inference with EP in discrete Bayesian networks

Ole Winther

View PDFchevron_right

Computation of Kullback–Leibler Divergence in Bayesian Networks

Manuel Gómez Olmedo

Entropy

View PDFchevron_right

Scalable Inference for Hybrid Bayesian Networks with Full Density Estimations

Kathryn Laskey

View PDFchevron_right