Learning Bayesian Networks: The Combination of Knowledge and Statistical Data

27 February 2013

Papers citing "Learning Bayesian Networks: The Combination of Knowledge and Statistical Data"

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Title
Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data Biwei Huang Kun Zhang Ruben Sanchez-Romero Joseph Ramsey Madelyn Glymour Clark Glymour CML 11 15 0 27 Jan 2019
Ask less - Scale Market Research without Annoying Your Customers Venkatesh Umaashankar Girish Shanmugam 8 1 0 25 Jan 2019
Solving All Regression Models For Learning Gaussian Networks Using Givens Rotations Borzou Alipourfard Jean X. Gao 4 1 0 22 Jan 2019
Efficient and Robust Machine Learning for Real-World Systems Franz Pernkopf Wolfgang Roth Matthias Zöhrer Lukas Pfeifenberger Günther Schindler Holger Froening Sebastian Tschiatschek Robert Peharz Matthew Mattina Zoubin Ghahramani OOD 11 1 0 05 Dec 2018
Multi-label classification search space in the MEKA software A. G. C. D. Sá Cristiano G. Pimenta G. Pappa A. Freitas 12 6 0 28 Nov 2018
Bayesian Reinforcement Learning in Factored POMDPs Sammie Katt F. Oliehoek Chris Amato 8 39 0 14 Nov 2018
Finding All Bayesian Network Structures within a Factor of Optimal Zhenyu A. Liao Charupriya Sharma James Cussens P. V. Beek BDL 4 16 0 12 Nov 2018
Experimental Design for Cost-Aware Learning of Causal Graphs Erik M. Lindgren Murat Kocaoglu A. Dimakis S. Vishwanath CML 19 36 0 28 Oct 2018
Renormalized Normalized Maximum Likelihood and Three-Part Code Criteria For Learning Gaussian Networks Borzou Alipourfard Jean X. Gao 9 0 0 20 Oct 2018
$High-Dimensional Poisson DAG Model Learning Using $\ell_1$-Regularized Regression$ High-Dimensional Poisson DAG Model Learning Using $\ell_1$ -Regularized Regression G. Park Sion Park 13 18 0 05 Oct 2018
Bayesian Structure Learning by Recursive Bootstrap R. Y. Rohekar Yaniv Gurwicz Shami Nisimov G. Koren Gal Novik CML 14 17 0 13 Sep 2018
Information-Theoretic Scoring Rules to Learn Additive Bayesian Network Applied to Epidemiology Gilles Kratzer Reinhard Furrer 9 6 0 03 Aug 2018
Learning Probabilistic Logic Programs in Continuous Domains Stefanie Speichert Vaishak Belle 11 8 0 15 Jul 2018
Tractable Querying and Learning in Hybrid Domains via Sum-Product Networks Andreas Bueff Stefanie Speichert Vaishak Belle TPM 11 15 0 14 Jul 2018
Neural Networks Regularization Through Representation Learning Soufiane Belharbi OOD SSL 14 2 0 13 Jul 2018
Human-aided Multi-Entity Bayesian Networks Learning from Relational Data C. Park Kathryn B. Laskey 9 0 0 06 Jun 2018
Who Learns Better Bayesian Network Structures: Accuracy and Speed of Structure Learning Algorithms M. Scutari C. E. Graafland J. Gutiérrez CML 28 53 0 30 May 2018
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures Luke Vilnis Xiang Li Shikhar Murty Andrew McCallum 14 137 0 17 May 2018
Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models G. Park Hyewon Park 16 0 0 08 May 2018
SafeRNet: Safe Transportation Routing in the era of Internet of Vehicles and Mobile Crowd Sensing Qun Liu Suman Kumar Vijay K. Mago 12 18 0 03 May 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs Diviyan Kalainathan Olivier Goudet Isabelle M Guyon David Lopez-Paz Michèle Sebag CML 19 93 0 13 Mar 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric P. Xing NoLa CML OffRL 8 914 0 04 Mar 2018
Reti bayesiane per lo studio del fenomeno degli incidenti stradali tra i giovani in Toscana Filippo Elba L. Gnaulati Fabio Voeller CML 22 1 0 19 Oct 2017
Neural Networks Regularization Through Class-wise Invariant Representation Learning Soufiane Belharbi Clément Chatelain Romain Hérault Sébastien Adam OOD 6 10 0 06 Sep 2017
Dirichlet Bayesian Network Scores and the Maximum Relative Entropy Principle M. Scutari 21 39 0 02 Aug 2017
Entropy-based Pruning for Learning Bayesian Networks using BIC Cassio P. De Campos Mauro Scanagatta Giorgio Corani Marco Zaffalon 11 34 0 19 Jul 2017
Bayesian Models of Data Streams with Hierarchical Power Priors A. Masegosa Thomas D. Nielsen H. Langseth D. Ramos-López Antonio Salmerón A. Madsen 15 23 0 07 Jul 2017
Learning Quadratic Variance Function (QVF) DAG models via OverDispersion Scoring (ODS) G. Park Garvesh Raskutti CML 16 45 0 28 Apr 2017
Beyond Uniform Priors in Bayesian Network Structure Learning M. Scutari 8 4 0 12 Apr 2017
Evidence Updating for Stream-Processing in Big-Data: Robust Conditioning in Soft and Hard Fusion Environments T. Wickramarathne 6 7 0 20 Mar 2017
Learning Large-Scale Bayesian Networks with the sparsebn Package Bryon Aragam J. Gu Qing Zhou CML 11 55 0 11 Mar 2017
An Approach to Autonomous Science by Modeling Geological Knowledge in a Bayesian Framework Akash Arora Robert Fitch Salah Sukkarieh 14 29 0 09 Mar 2017
Efficient computational strategies to learn the structure of probabilistic graphical models of cumulative phenomena Daniele Ramazzotti Marco S. Nobile M. Antoniotti Alex Graudenzi CML 11 4 0 08 Mar 2017
Bayesian Network Learning via Topological Order Young Woong Park Diego Klabjan TPM 11 29 0 20 Jan 2017
Estimating Causal Direction and Confounding of Two Discrete Variables Krzysztof Chalupka F. Eberhardt Pietro Perona CML 15 8 0 04 Nov 2016
Inferring Coupling of Distributed Dynamical Systems via Transfer Entropy Oliver M. Cliff M. Prokopenko Robert Fitch 14 1 0 02 Nov 2016
pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data J. Zhu Chao Zhang Huichu Zhang Shi Zhi V. Li Jiawei Han Yu Zheng AI4TS 29 46 0 22 Oct 2016
Generalization error minimization: a new approach to model evaluation and selection with an application to penalized regression N. Xu Jian Hong Timothy C. G. Fisher 8 2 0 18 Oct 2016
Finite-sample and asymptotic analysis of generalization ability with an application to penalized regression N. Xu Jian Hong Timothy C. G. Fisher 8 0 0 12 Sep 2016
Learning Bayesian Networks with Incomplete Data by Augmentation T. Adel Cassio P. de Campos UQCV BDL 14 17 0 27 Aug 2016
Evaluating Causal Models by Comparing Interventional Distributions Dan Garant David D. Jensen CML 11 11 0 16 Aug 2016
A Theoretical Analysis of the BDeu Scores in Bayesian Network Structure Learning J. Suzuki 19 37 0 15 Jul 2016
Model selection consistency from the perspective of generalization ability and VC theory with an application to Lasso N. Xu Jian Hong Timothy C. G. Fisher 21 0 0 01 Jun 2016
An Information Criterion for Inferring Coupling in Distributed Dynamical Systems Oliver M. Cliff M. Prokopenko Robert Fitch 11 14 0 23 May 2016
Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets, and Complexity James Cussens Matti Järvisalo Janne H. Korhonen M. Bartlett 29 55 0 13 May 2016
An Empirical-Bayes Score for Discrete Bayesian Networks M. Scutari BDL 17 51 0 12 May 2016
Probabilistic Graphical Models on Multi-Core CPUs using Java 8 A. Masegosa Ana M. Martínez Hanen Borchani TPM 11 16 0 27 Apr 2016
Accelerating Science: A Computing Research Agenda Vasant G. Honavar M. Hill Katherine Yelick AI4CE 14 14 0 06 Apr 2016
Inference Networks for Sequential Monte Carlo in Graphical Models Brooks Paige Frank D. Wood BDL 20 110 0 22 Feb 2016
A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution Daniele Ramazzotti 11 5 0 15 Feb 2016