Bayesian Networks: An Introduction (original) (raw)

Foundations for Bayesian Networks

Jon Williamson

Applied Logic Series, 2001

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Context-specific independence in Bayesian networks

Craig Boutilier

Proceedings of the Twelfth …, 1996

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Bayesian Networks

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2021

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Mutual conditional independence and its applications to model selection in Markov networks

Swapan Kumar Parui

Annals of Mathematics and Artificial Intelligence, 2020

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Bayesian networks for discrete multivariate data: an algebraic approach to inference

Jim Smith

Journal of multivariate analysis, 2003

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Learning bayesian networks from data: An efficient approach based on information theory

Wayne Liu

World Wide Web, 1998

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Probabilistic Inferences in Bayesian Networks

Jianguo Ding

Computing Research Repository, 2010

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On a simple method for testing independencies in Bayesian networks

jhonatan Oliveira

Computational Intelligence, 2017

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Special issue on PGM�� 04: Second European workshop on probabilistic graphical models 2004

Peter V Lucas

2006

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A transformational characterization of equivalent Bayesian network structures

Arip Rahman

UAI'95, 1995

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Introducing Bayesian Networks 2.1 Introduction

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Structural Markov graph laws for Bayesian model uncertainty

Philip Dawid

The Annals of Statistics, 2015

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The Most Probable Bayesian Network and Beyond

Tomi Silander

2009

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Causal independence for probability assessment and inference using Bayesian networks

David Heckerman

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 1996

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An empirical study of testing independencies in Bayesian networks using rp-separation

jhonatan Oliveira

International Journal of Approximate Reasoning, 2018

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Cyclic Bayesian Network : Markov Process Approach

Mieczysław Kłopotek

Studia Informatica : systems and information technology, 2006

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(Wiley Series in Probability and Statistics) Timo Koski, John Noble Bayesian Networks An Introduction Wiley (2009)

zhe wang

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Learning Bayesian Networks under the Control of Mutual Information

Gernot Kleiter

1996

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Independence for full conditional measures, graphoids and Bayesian networks

Teddy Seidenfeld

2007

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Exploiting causal independence in Bayesian network inference

arif rahman

Arxiv preprint cs/9612101, 1996

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A New Characterization of Probabilities in Bayesian Networks

Lenhart Schubert

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Bayesian networks in reliability: Some recent developments

Helge Langseth

… International Conference on Mathematical Methods in …, 2004

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Operations for inference in continuous Bayesian networks with linear deterministic variables

Prakash Shenoy

International Journal of Approximate Reasoning, 2006

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Characteristic imset: a simple algebraic representative of a Bayesian network structure

Raymond Hemmecke

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A simple approach to Bayesian network computations

David Poole

PROCEEDINGS OF THE BIENNIAL CONFERENCE- …, 1994

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A geometric view on learning Bayesian network structures

Raymond Hemmecke

2010

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Computing with Bayesian Multi-Networks

Eugene Santos

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Extending Bayesian Networks to the Open-Universe Case

Brian Milch

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The posterior probability of Bayes nets with strong dependences

Gernot Kleiter

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 1999

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Causal Bayesian NetworkX

M Pacer

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Learning Bayesian Networks from Correlated Data

Stefano Monti

Scientific Reports, 2016

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Inference Algorithms in Bayesian Networks and the Probanet System

Daniel W McMichael

Digital Signal Processing, 1998

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