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Jirí Vomlel

Orcid: 0000-0001-5810-4038

According to our database¹, Jirí Vomlel authored at least 45 papers between 2001 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org
on utia.cas.cz

On csauthors.net:

Bibliography

2023

Structural learning of mixed noisy-OR Bayesian networks.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

,

Frantisek Kratochvíl

Int. J. Approx. Reason., October, 2023

Learning the Structure of Bayesian Networks from Incomplete Data using a Mixture Model.

[BibT_eX]

[DOI]

,

Informatica (Slovenia), 2023

Improving Czech Digital Government Based on Quantified Maturity Model of Enterprise Architecture.

[BibT_eX]

[DOI]

,

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

On Identifiability of BN2A Networks.

[BibT_eX]

[DOI]

,

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

2022

On the rank of 2×2×2 probability tables.

[BibT_eX]

[DOI]

,

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Learning Noisy-Or Networks with an Application in Linguistics.

[BibT_eX]

[DOI]

Frantisek Kratochvíl

,

Václav Kratochvíl

,

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021

Bayesian Networks for the Test Score Prediction: A Case Study on a Math Graduation Exam.

[BibT_eX]

[DOI]

,

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020

Learning bipartite Bayesian networks under monotonicity restrictions.

[BibT_eX]

[DOI]

,

Int. J. Gen. Syst., 2020

Monotonicity in practice of adaptive testing.

[BibT_eX]

[DOI]

,

CoRR, 2020

2019

On Irreducible Min-Balanced Set Systems.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

,

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

2018

Representations of Bayesian networks by low-rank models.

[BibT_eX]

[DOI]

Petr Tichavský

,

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

2017

Influence diagrams for speed profile optimization.

[BibT_eX]

[DOI]

Václav Kratochvíl

,

Int. J. Approx. Reason., 2017

An empirical comparison of popular structure learning algorithms with a view to gene network inference.

[BibT_eX]

[DOI]

Vera Djordjilovic

,

,

Int. J. Approx. Reason., 2017

Solving the Goddard problem by an influence diagram.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

CoRR, 2017

Solving the Brachistochrone Problem by an Influence Diagram.

[BibT_eX]

[DOI]

CoRR, 2017

Solving Trajectory Optimization Problems by Influence Diagrams.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Monotonicity in Bayesian Networks for Computerized Adaptive Testing.

[BibT_eX]

[DOI]

,

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

2016

Probabilistic Models for Computerized Adaptive Testing: Experiments.

[BibT_eX]

[DOI]

,

CoRR, 2016

Student Skill Models in Adaptive Testing.

[BibT_eX]

[DOI]

,

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2015

Generalizations of the noisy-or model.

[BibT_eX]

[DOI]

Kybernetika, 2015

Bayesian Network Models for Adaptive Testing.

[BibT_eX]

[DOI]

,

Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), 2015

Influence Diagrams for the Optimization of a Vehicle Speed Profile.

[BibT_eX]

[DOI]

Václav Kratochvíl

,

Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), 2015

2014

Probabilistic inference with noisy-threshold models based on a CP tensor decomposition.

[BibT_eX]

[DOI]

,

Petr Tichavský

Int. J. Approx. Reason., 2014

On tensor rank of conditional probability tables in Bayesian networks.

[BibT_eX]

[DOI]

,

Petr Tichavský

CoRR, 2014

An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper.

[BibT_eX]

[DOI]

,

Petr Tichavský

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

2013

Probabilistic Inference in BN2T Models by Weighted Model Counting.

[BibT_eX]

[DOI]

,

Petr Tichavský

Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

2012

All roads lead to Rome - New search methods for the optimal triangulation problem.

[BibT_eX]

[DOI]

Thorsten J. Ottosen

,

Int. J. Approx. Reason., 2012

Prediction Model of Inpatient Mortality for Patients with Myocardial Infarction.

[BibT_eX]

,

,

Václav Kratochvíl

,

,

Proceedings of the HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics, Vilamoura, Algarve, Portugal, 1, 2012

2011

Rank of tensors of l-out-of-k functions: an application in probabilistic inference.

[BibT_eX]

[DOI]

Kybernetika, 2011

On open questions in the geometric approach to structural learning Bayesian nets.

[BibT_eX]

[DOI]

,

Int. J. Approx. Reason., 2011

2010

A geometric view on learning Bayesian network structures.

[BibT_eX]

[DOI]

,

,

Raymond Hemmecke

Int. J. Approx. Reason., 2010

2009

A reconstruction algorithm for the essential graph.

[BibT_eX]

[DOI]

,

Int. J. Approx. Reason., 2009

Triangulation Heuristics for BN2O Networks.

[BibT_eX]

[DOI]

,

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008

Editorial Note.

[BibT_eX]

[DOI]

,

Int. J. Approx. Reason., 2008

2007

Exploiting tensor rank-one decomposition in probabilistic inference.

[BibT_eX]

[DOI]

,

Kybernetika, 2007

2006

Noisy-or classifier.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2006

2004

Building adaptive tests using Bayesian networks.

[BibT_eX]

[DOI]

Kybernetika, 2004

Integrating Inconsistent Data in a Probabilistic Model.

[BibT_eX]

[DOI]

J. Appl. Non Class. Logics, 2004

Bayesian Networks In Educational Testing.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004

A Prototypical System for Soft Evidential Update.

[BibT_eX]

[DOI]

,

,

Appl. Intell., 2004

2003

Troubleshooting: NP-hardness and solution methods.

[BibT_eX]

[DOI]

Marta Vomlelová

,

Soft Comput., 2003

2002

Soft evidential update for probabilistic multiagent systems.

[BibT_eX]

[DOI]

,

,

Int. J. Approx. Reason., 2002

Exploiting Functional Dependence in Bayesian Network Inference.

[BibT_eX]

[DOI]

Proceedings of the UAI '02, 2002

2001

The SACSO methodology for troubleshooting complex systems.

[BibT_eX]

[DOI]

Finn Verner Jensen

,

,

Brian Kristiansen

,

,

Claus Skaanning

,

,

Marta Vomlelová

Artif. Intell. Eng. Des. Anal. Manuf., 2001

Troubleshooting with Simultaneous Models.

[BibT_eX]

[DOI]

,

Claus Skaanning

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

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