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A Tutorial on Learning With Bayesian Networks

1 February 2020

Papers citing "A Tutorial on Learning With Bayesian Networks"

50 / 149 papers shown

Title
Connecting actuarial judgment to probabilistic learning techniques with graph theory Roland R. Ramsahai CML 20 1 0 29 Jul 2020
An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models Catarina Moreira Yu-Liang Chou M. Velmurugan Chun Ouyang Renuka Sindhgatta P. Bruza 114 58 0 21 Jul 2020
Analysis of Bayesian Networks via Prob-Solvable Loops E. Bartocci L. Kovács Miroslav Stankovič TPM 100 12 0 18 Jul 2020
Root Cause Analysis in Lithium-Ion Battery Production with FMEA-Based Large-Scale Bayesian Network Michael Kirchhof Klaus Haas T. Kornas S. Thiede M. Hirz Christoph Herrmann 15 5 0 05 Jun 2020
Robust Robot-assisted Tele-grasping Through Intent-Uncertainty-Aware Planning Michael Bowman Songpo Li Xiaoli Zhang 42 0 0 19 May 2020
Deep Learning in Mining Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain AI4CE 63 288 0 28 Feb 2020
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future E. Kyrimi S. McLachlan Kudakwashe Dube Mariana R. Neves Ali Fahmi Norman E. Fenton AI4TS 57 79 0 20 Feb 2020
A Content-Based Deep Intrusion Detection System Mahdi Soltani M. J. Siavoshani A. Jahangir 20 29 0 14 Jan 2020
Quantifying (Hyper) Parameter Leakage in Machine Learning Vasisht Duddu D. V. Rao AAML MIACV FedML 67 5 0 31 Oct 2019
Invoice Financing of Supply Chains with Blockchain technology and Artificial Intelligence S. Johnson Peter Robinson Kishore Atreya Claudio Lisco 98 1 0 25 May 2019
Survey of Bayesian Networks Applications to Intelligent Autonomous Vehicles Rocío Díaz de León Torres M. Molina P. Campoy 23 2 0 16 Jan 2019
Inference in Graded Bayesian Networks R. Leppert K. Zimmermann BDL 8 0 0 23 Dec 2018
Scalable Population Synthesis with Deep Generative Modeling S. Borysov Jeppe Rich Francisco Câmara Pereira 41 58 0 21 Aug 2018
Human-aided Multi-Entity Bayesian Networks Learning from Relational Data C. Park Kathryn B. Laskey 16 0 0 06 Jun 2018
Learning graphs from data: A signal representation perspective Xiaowen Dong D. Thanou Michael G. Rabbat P. Frossard 134 381 0 03 Jun 2018
Robust and Scalable Models of Microbiome Dynamics T. Gibson Georg Gerber 100 37 0 11 May 2018
FASK with Interventional Knowledge Recovers Edges from the Sachs Model Joseph Ramsey Bryan Andrews 70 22 0 06 May 2018
Language Bootstrapping: Learning Word Meanings From Perception-Action Association G. Salvi Luis Montesano Alexandre Bernardino J. Santos-Victor LM&Ro 45 49 0 27 Nov 2017
Applications of Deep Learning and Reinforcement Learning to Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain S. Vassanelli OffRL AI4CE 85 646 0 10 Nov 2017
Adaptive user support in educational environments: A Bayesian Network approach A. Stoica Nikolaos Tselios C. Fidas 16 1 0 06 Jul 2017
Scalable Exact Parent Sets Identification in Bayesian Networks Learning with Apache Spark Subhadeep Karan J. Zola 139 5 0 18 May 2017
Constrained Bayesian Networks: Theory, Optimization, and Applications Paul Beaumont M. Huth CML 24 4 0 15 May 2017
Deep Learning for Explicitly Modeling Optimization Landscapes S. Baluja 18 5 0 21 Mar 2017
Inferring Coupling of Distributed Dynamical Systems via Transfer Entropy Oliver M. Cliff M. Prokopenko Robert Fitch 40 1 0 02 Nov 2016
A Birth and Death Process for Bayesian Network Structure Inference D. Jennings J. Corcoran BDL 139 5 0 01 Oct 2016
Dynamic Probabilistic Network Based Human Action Recognition Ann-Kathrin Veenendaal E. Jones Zhao Gang E. Daly Sumalini Vartak Rahul Patwardhan 41 9 0 26 Jul 2016
Fast Simulation of Hyperplane-Truncated Multivariate Normal Distributions Yulai Cong Bo Chen Mingyuan Zhou 80 47 0 16 Jul 2016
A Survey on Domain-Specific Languages for Machine Learning in Big Data I. Portugal Paulo S. C. Alencar Donald D. Cowan AI4CE 61 13 0 24 Feb 2016
Equivalence Classes of Staged Trees Christiane Görgen Jim Q. Smith 102 31 0 01 Dec 2015
Searching Multiregression Dynamic Models of Resting-State fMRI Networks Using Integer Programming L. Costa Jim Q. Smith Thomas E. Nichols James Cussens E. Duff T. Makin 64 36 0 26 May 2015
Robust Feature Selection by Mutual Information Distributions Marco Zaffalon Marcus Hutter 554 126 0 07 Aug 2014
Learning directed acyclic graphs via bootstrap aggregating Ru Wang Jie Peng FedML CML 63 3 0 09 Jun 2014
An Efficient Search Strategy for Aggregation and Discretization of Attributes of Bayesian Networks Using Minimum Description Length J. Corcoran Daniel Tran N. Levine 115 6 0 03 Apr 2014
Venture: a higher-order probabilistic programming platform with programmable inference Vikash K. Mansinghka Daniel Selsam Yura N. Perov 97 256 0 01 Apr 2014
Efficient Markov Network Structure Discovery Using Independence Tests F. Bromberg D. Margaritis Vasant Honavar 157 84 0 15 Jan 2014
Learning Bayesian Network Equivalence Classes with Ant Colony Optimization Rónán Daly Q. Shen 187 69 0 15 Jan 2014
Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks Brandon M. Malone Changhe Yuan TPM 73 26 0 26 Sep 2013
A Comparison of Algorithms for Learning Hidden Variables in Normal Graphs F. Palmieri 144 7 0 26 Aug 2013
Continuous-time Infinite Dynamic Topic Models Wesam Elshamy 57 7 0 28 Feb 2013
Asymptotic Model Selection for Directed Networks with Hidden Variables D. Geiger David Heckerman Christopher Meek 204 92 0 13 Feb 2013
On the Sample Complexity of Learning Bayesian Networks N. Friedman Z. Yakhini 141 151 0 13 Feb 2013
Learning Bayesian Networks with Local Structure N. Friedman M. Goldszmidt 105 597 0 13 Feb 2013
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network D. M. Chickering David Heckerman 207 95 0 13 Feb 2013
Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates Craig Boutilier 43 30 0 13 Feb 2013
Structure and Parameter Learning for Causal Independence and Causal Interaction Models Christopher Meek David Heckerman CML 100 36 0 06 Feb 2013
Models and Selection Criteria for Regression and Classification David Heckerman Christopher Meek 194 75 0 06 Feb 2013
Learning Bayesian Nets that Perform Well Russell Greiner Adam J. Grove Dale Schuurmans BDL UQCV 81 67 0 06 Feb 2013
Sequential Update of Bayesian Network Structure N. Friedman M. Goldszmidt 78 140 0 06 Feb 2013
Update Rules for Parameter Estimation in Bayesian Networks Eric Bauer D. Koller Y. Singer 74 125 0 06 Feb 2013
Exact Inference of Hidden Structure from Sample Data in Noisy-OR Networks Michael Kearns Yishay Mansour NoLa CML 80 7 0 30 Jan 2013