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Radim Jirousek

Orcid: 0000-0002-8982-9813

According to our database¹, Radim Jirousek authored at least 64 papers between 1975 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

Computing the decomposable entropy of belief-function graphical models.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

,

Prakash P. Shenoy

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

On conditional belief functions in directed graphical models in the Dempster-Shafer theory.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

,

Prakash P. Shenoy

Int. J. Approx. Reason., September, 2023

On the relationship between graphical and compositional models for the Dempster-Shafer theory of belief functions.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

,

Prakash P. Shenoy

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

2022

Entropy for evaluation of Dempster-Shafer belief function models.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

,

Prakash P. Shenoy

Int. J. Approx. Reason., 2022

Measuring Quality of Belief Function Approximations.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022

On Conditional Belief Functions in the Dempster-Shafer Theory.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

,

Prakash P. Shenoy

Proceedings of the Belief Functions: Theory and Applications, 2022

2021

Foundations of compositional models: inference.

[BibT_eX]

[DOI]

Vladislav Bína

,

,

Václav Kratochvíl

Int. J. Gen. Syst., 2021

Approximations of Belief Functions Using Compositional Models.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

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

Entropy-Based Learning of Compositional Models from Data.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

,

Prakash P. Shenoy

Proceedings of the Belief Functions: Theory and Applications, 2021

2020

A note on the approximation of Shenoy's expectation operator using probabilistic transforms.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

,

Int. J. Gen. Syst., 2020

On properties of a new decomposable entropy of Dempster-Shafer belief functions.

[BibT_eX]

[DOI]

,

Prakash P. Shenoy

Int. J. Approx. Reason., 2020

On subjective expected value under ambiguity.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

Int. J. Approx. Reason., 2020

A short note on decomposition and composition of knowledge.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2020

On a possibility of gradual model-learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

On Expected Utility Under Ambiguity.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

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

2018

A new definition of entropy of belief functions in the Dempster-Shafer theory.

[BibT_eX]

[DOI]

,

Prakash P. Shenoy

Int. J. Approx. Reason., 2018

Combination and Composition in Probabilistic Models.

[BibT_eX]

[DOI]

,

Prakash P. Shenoy

Proceedings of the Econometrics for Financial Applications, 2018

A Decomposable Entropy of Belief Functions in the Dempster-Shafer Theory.

[BibT_eX]

[DOI]

,

Prakash P. Shenoy

Proceedings of the Belief Functions: Theory and Applications, 2018

2017

On Conditioning in Multidimensional Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the Robustness in Econometrics, 2017

Ambiguity aversion and a decision-theoretic framework using belief functions.

[BibT_eX]

[DOI]

,

Prakash P. Shenoy

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Brief Introduction to Causal Compositional Models.

[BibT_eX]

[DOI]

Proceedings of the Causal Inference in Econometrics, 2016

Causal compositional models in valuation-based systems with examples in specific theories.

[BibT_eX]

[DOI]

,

Prakash P. Shenoy

Int. J. Approx. Reason., 2016

Sequential Decision Process Supported by a Compositional Model.

[BibT_eX]

[DOI]

,

Lucie Váchová

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective.

[BibT_eX]

[DOI]

,

Prakash P. Shenoy

Proceedings of the Belief Functions: Theory and Applications, 2016

2015

Special issue dedicated to Ivan Kramosil.

[BibT_eX]

[DOI]

Dagmar Harmancová

,

Kybernetika, 2015

On computations with causal compositional models.

[BibT_eX]

[DOI]

Vladislav Bína

,

Kybernetika, 2015

Foundations of compositional models: structural properties.

[BibT_eX]

[DOI]

,

Václav Kratochvíl

Int. J. Gen. Syst., 2015

Minimum Description Length Principle for Compositional Model Learning.

[BibT_eX]

[DOI]

,

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2015

2014

Compositional models in valuation-based systems.

[BibT_eX]

[DOI]

,

Prakash P. Shenoy

Int. J. Approx. Reason., 2014

On Causal Compositional Models: Simple Examples.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Causal Compositional Models in Valuation-Based Systems.

[BibT_eX]

[DOI]

,

Prakash P. Shenoy

Proceedings of the Belief Functions: Theory and Applications, 2014

2013

A short note on multivariate dependence modeling.

[BibT_eX]

[DOI]

Vladislav Bína

,

Kybernetika, 2013

2012

Local computations in Dempster-Shafer theory of evidence.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2012

Conditioning in Decomposable Compositional Models in Valuation-Based Systems.

[BibT_eX]

[DOI]

,

Prakash P. Shenoy

Proceedings of the Advances in Computational Intelligence, 2012

2011

Foundations of compositional model theory.

[BibT_eX]

[DOI]

Int. J. Gen. Syst., 2011

Compositional models and conditional independence in evidence theory.

[BibT_eX]

[DOI]

,

Jirina Vejnarová

Int. J. Approx. Reason., 2011

Belief Networks and Local Computations.

[BibT_eX]

[DOI]

Proceedings of the Nonlinear Mathematics for Uncertainty and its Applications, 2011

2010

An Attempt to Define Graphical Models in Dempster-Shafer Theory of Evidence.

[BibT_eX]

[DOI]

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

Approximation of Data by Decomposable Belief Models.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

2008

Probabilistic partial knowledge handling.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2008

Conditional independence and factorization of multidimensional models.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2008, 2008

2007

A short note on Perez's approximation by dependence structure simplification.

[BibT_eX]

[DOI]

Kybernetika, 2007

2006

Marginalization in multidimensional compositional models.

[BibT_eX]

[DOI]

Vladislav Bína

,

Kybernetika, 2006

Editorial note to the special issue on uncertainty processing.

[BibT_eX]

[DOI]

,

Gernot D. Kleiter

,

Jirina Vejnarová

Int. J. Intell. Syst., 2006

Data-Based Construction of Multidimensional Probabilistic Models with MUDIM.

[BibT_eX]

[DOI]

Log. J. IGPL, 2006

2005

On an Interval-Valued Solution of the Marginal Problem.

[BibT_eX]

Jirina Vejnarová

,

,

Vladislav Bína

Proceedings of the ISIPTA '05, 2005

2003

Construction of multidimensional models by operators of composition: current state of art.

[BibT_eX]

[DOI]

,

Jirina Vejnarová

Soft Comput., 2003

Editorial note.

[BibT_eX]

[DOI]

,

Gernot D. Kleiter

,

Jirina Vejnarová

Soft Comput., 2003

General framework for multidimensional models.

[BibT_eX]

[DOI]

,

Jirina Vejnarová

Int. J. Intell. Syst., 2003

On Approximating Multidimensional Probability Distributions by Compositional Models.

[BibT_eX]

[DOI]

Proceedings of the ISIPTA '03, 2003

2002

Decomposition of Multidimensional Distributions Represented by Perfect Sequences.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2002

2001

Perfect Sequences for Belief Networks Representation.

[BibT_eX]

[DOI]

,

Jirina Vejnarová

Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, 2001

2000

Marginalization in Composed Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

1998

Special issue on uncertainty processing.

[BibT_eX]

[DOI]

,

Gernot D. Kleiter

Kybernetika, 1998

1997

Composition of Probability Measures on Finite Spaces.

[BibT_eX]

[DOI]

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

1992

Introduction to Probabilistic Methods of Knowledge Representation and Processing.

[BibT_eX]

[DOI]

Proceedings of the Advanced Topics in Artificial Intelligence, 1992

Uncertain information processing in expert systems.

[BibT_eX]

,

Tomás Havránek

,

CRC Press, ISBN: 978-0-8493-6368-9, 1992

1991

Solution of the marginal problem and decomposable distributions.

[BibT_eX]

[DOI]

Kybernetika, 1991

Expert systems - Principles and programming: Joseph C. Giarratano and Gary Riley.

[BibT_eX]

[DOI]

Autom., 1991

1990

A survey of methods used in probabilistic expert systems for knowledge integration.

[BibT_eX]

[DOI]

Knowl. Based Syst., 1990

1989

A new model of combinatorial probability.

[BibT_eX]

[DOI]

Kybernetika, 1989

1983

Boundaries for the average length of strategic tests.

[BibT_eX]

[DOI]

Kybernetika, 1983

1981

An alternative method for construction of optimal sequential questionnaires.

[BibT_eX]

[DOI]

Kybernetika, 1981

1975

Heuristic methods of construction of sequential questionnaire.

[BibT_eX]

[DOI]

Kybernetika, 1975

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