Janneke H. Bolt

According to our database1, Janneke H. Bolt authored at least 24 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Self-adhesivity in lattices of abstract conditional independence models.
CoRR, 2024

2023
Two generalizations of the semi-graphoid rule of probabilistic independence and more.
Int. J. Approx. Reason., October, 2023

2021
Generalized Rules of Probabilistic Independence.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020
A lattice-based representation of independence relations for efficient closure computation.
Int. J. Approx. Reason., 2020

Poset Representations for Sets of Elementary Triplets.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019
On Minimum Elementary-Triplet Bases for Independence Relations.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

2018
A Lattice Representation of Independence Relations.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

2017
Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers.
Int. J. Approx. Reason., 2017

Structure-Based Categorisation of Bayesian Network Parameters.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

2016
Bayesian Networks: a Combined Tuning Heuristic.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Exploiting Bayesian Network Sensitivity Functions for Inference in Credal Networks.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Balanced Tuning of Multi-dimensional Bayesian Network Classifiers.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014
Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter Shifts.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

The General Expression of the Prior Convergence Error: A Proof.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Sensitivity of Multi-dimensional Bayesian Classifiers.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2010
Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

2009
Bayesian Networks: The Parental Synergy and the Prior Convergence Error.
Proceedings of the AI*IA 2009: Emergent Perspectives in Artificial Intelligence, 2009

2008
Bayesian Networks: Aspects of Approximate Inference.
PhD thesis, 2008

2006
Preprocessing the MAP Problem.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Loopy Propagation: the Convergence Error in Markov Networks.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005
Introducing situational signs in qualitative probabilistic networks.
Int. J. Approx. Reason., 2005

2003
Upgrading Ambiguous Signs in QPNs.
Proceedings of the UAI '03, 2003

Introducing Situational Influences in QPNs.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003


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