Dr. ir. J.H. (Janneke) Bolt

Dr. ir. J.H. (Janneke) Bolt

Researcher
Intelligent Systems
j.h.bolt@uu.nl

Publications

2023

Scholarly publications

Bolt, J. (2023). Two generalizations of the semi-graphoid rule of probabilistic independence and more. International Journal of Approximate Reasoning, 161.

2021

Scholarly publications

Bolt, J., & van der Gaag, L. C. (2021). Generalized Rules of Probabilistic Independence. In Generalized Rules of Probabilistic Independence

2020

Scholarly publications

van der Gaag, L. C., & Bolt, J. H. (2020). Poset Representations for Sets of Elementary Triplets. In Proceedings of the 10th International Conference on Probabilistic Graphical Models https://pgm2020.cs.aau.dk/wp-content/uploads/2020/09/vanderGaag20b.pdf
https://dspace.library.uu.nl/bitstream/handle/1874/414796/vanderGaag20b.pdf?sequence=1
van der Gaag, L. C., Baioletti, M., & Bolt, J. H. (2020). A lattice-based representation of independence relations for efficient closure computation. International Journal of Approximate Reasoning, 126, 272-289. https://doi.org/10.1016/j.ijar.2020.08.002

2019

Scholarly publications

Bolt, J. H., & van der Gaag, L. C. (2019). On Minimum Elementary-Triplet Bases for Independence Relations. In Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications (Vol. 103, pp. 32-37). (Proceedings of Machine Learning Research; Vol. 103). Microtome Publishing.
https://dspace.library.uu.nl/bitstream/handle/1874/390166/bolt19a.pdf?sequence=1

2018

Scholarly publications

van der Gaag, L. C., Baioletti, M., & Bolt, J. H. (2018). A Lattice Representation of Independence Relations. In Proceedings of Machine Learning Research (Vol. 72, pp. 487-498). (Proceedings of Machine Learning Research; Vol. 72).
https://dspace.library.uu.nl/bitstream/handle/1874/371925/van_der_gaag18a.pdf?sequence=1

2017

Scholarly publications

Bolt, J. H., & Renooij, S. (2017). Structure-based categorisation of Bayesian network parameters. In A. Antonucci, L. Cholvy, & O. Papini (Eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 14th European Conference, ECSQARU 2017, Lugano, Switzerland, July 10–14, 2017, Proceedings (pp. 83-92). (Lecture Notes in Computer Science ; Vol. 10369). Springer Cham. https://doi.org/10.1007/978-3-319-61581-3_8
Bolt, J. H., & van der Gaag, L. C. (2017). Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers. International Journal of Approximate Reasoning, 80, 361-376. https://doi.org/10.1016/j.ijar.2016.07.011

2016

Scholarly publications

Bolt, J. H. (2016). Bayesian networks: a combined tuning heuristic. In A. Antonucci, G. Corani, & C. P. de Campos (Eds.), Proceedings of the Eighth International Conference on Probabilistic Graphical Models (Vol. 52, pp. 37-48)
https://dspace.library.uu.nl/bitstream/handle/1874/339499/Bayesian.pdf?sequence=1
Bolt, J. H., De Bock, J., & Renooij, S. (2016). Exploiting Bayesian network sensitivity functions for inference in credal networks. In G. A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, & F. V. Harmelen (Eds.), ECAI 2016: Proceedings of the Twenty-Second European Conference on Artificial Intelligence (pp. 646-654). (Frontiers in Artificial Intelligence and Applications; Vol. 285). IOS Press. https://doi.org/10.3233/978-1-61499-672-9-646

2015

Scholarly publications

Bolt, J. H., & Renooij, S. (2015). Robustness of multi-dimensional Bayesian network classifiers. In Proceedings of the 27th Benelux Artificial Intelligence Conference
Bolt, J. H., & van der Gaag, L. C. (2015). Balanced tuning of multi-dimensional Bayesian network classifiers. In S. Destercke, & T. Denoeux (Eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings (pp. 210-220). (Lecture Notes in Artificial Intelligence; Vol. 9161), (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-319-20807-7_19

2014

Scholarly publications

Bolt, J., & Renooij, S. (2014). Sensitivity of Multi-dimensional Bayesian Classifiers. (Technical Report Series / Department of Information and Computing Sciences, Utrecht University; No. UU-CS-2014-024). UU BETA ICS Departement Informatica.
https://dspace.library.uu.nl/bitstream/handle/1874/306437/2014_024.pdf?sequence=1
Bolt, J. H., & Renooij, S. (2014). Sensitivity of multi-dimensional Bayesian classifiers. In T. Schaub, G. Friedrich, & B. O'Sullivan (Eds.), Proceedings of the 21st European Conference on Artificial Intelligence: (ECAI) (pp. 971-972). (Frontiers in Artificial Intelligence and Applications ; Vol. 263). IOS Press. https://doi.org/10.3233/978-1-61499-419-0-971
Bolt, J. (2014). The General Expression of the Prior Convergence Error: A Proof. In A. Laurent, O. Strauss, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems: 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part I (pp. 496-505). (Communications in Computer and Information Science; Vol. 442). Springer. https://doi.org/10.1007/978-3-319-08795-5_51
Bolt, J. H., & Renooij, S. (2014). Local sensitivity of Bayesian networks to multiple simultaneous parameter shifts. In L. C. van der Gaag, & A. J. Feelders (Eds.), Proceedings of the Seventh European Workshop on Probabilistic Graphical Models (PGM) (pp. 65-80). (Lecture Notes in Computer Science ; Vol. 8754). Springer. https://doi.org/10.1007/978-3-319-11433-0

2012

Scholarly publications

Bolt, J. H., & van der Gaag, L. C. (2012). Multi-dimensional Classification with Naive Bayesian Network Classifiers. In J. W. H. M. Uiterwijk, N. Roos, & M. H. M. Wijnands (Eds.), Proceedings of the 24th Benelux Conference on Artificial Intelligence (pp. 27-34)

2010

Scholarly publications

van der Gaag, L. C., Bolt, J. H., Loeffen, W. L. A., & Elbers, A. R. W. (2010). Modelling patterns of evidence in Bayesian networks: a case-study in Classical Swine Fever. In Computational Intelligence for Knowledge-based Systems Design, (pp. 675-684). Springer.
Bolt, J. H., & van der Gaag, L. C. (2010). An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network. In E. Huellermeier, R. Kruse, & F. Hoffmann (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 11-20). Springer.

2009

Scholarly publications

Bolt, J. H. (2009). Bayesian networks: the range of the prior convergence error. In T. Calders, K. Tuyls, & M. Pechenizkiy (Eds.), Prodeedings of BNAIC 2009, the twentyfirst Belgian-Dutch Artificial Intelligence Conference (pp. 35-42)
Bolt, J. H. (2009). Bayesian Networks: the parental synergy and the prior convergence error. In R. Serra, & R. Cucchiara (Eds.), Proceedings of the eleventh Congress of the Italian Association for Artificial Intelligence (pp. 1-10)

2008

Scholarly publications

Bolt, J. H. (2008). Bayesian Networks: Aspects of Approximate Inference. [Doctoral thesis 1 (Research UU / Graduation UU), Utrecht University]. Utrecht University.
https://dspace.library.uu.nl/bitstream/handle/1874/27154/bolt.pdf?sequence=1
Bolt, J. H. (2008). Bayesian networks: the parental synergy. In M. Jaeger, & T. D. Nielsen (Eds.), Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (pp. 33-40)
Bolt, J. H., & van der Gaag, L. C. (2008). Loopy propagation: the posterior error at convergence nodes. In M. P. A. Nijholt, & G. H. W. Hondorp (Eds.), Prodeedings of BNAIC 2008, the twentieth Belgian-Dutch Artificial Intellgence Conference (pp. 33-40)

2007

Scholarly publications

Bolt, J. H., & van der Gaag, L. C. (2007). Decisiveness in loopy propagation. In P. Lucas, J. A. Gámez, & A. Salmeron (Eds.), Advances in Probabilistic Graphical Models (pp. 153-173). (Studies in Fuzziness and Soft Computing; No. 214). Springer.

2006

Scholarly publications

Bolt, J. H., & van der Gaag, L. C. (Accepted/In press). Preprocessing the MAP problem. In J. V. M. Studeny (Ed.), Proceedings of the Third European Workshop on Probabilistic Graphical Models (pp. 51-58).
Bolt, J. H., & van der Gaag, L. C. (2006). Descisiveness in Loopy Propagation. (UU-CS ed.) UU WINFI Informatica en Informatiekunde.
https://dspace.library.uu.nl/bitstream/handle/1874/25236/bolt_06_loopypropagation.pdf?sequence=1
Bolt, J. H. (2006). Loopy propagation: the convergence error in Markov networks. In J. V. M. Studeny (Ed.), Proceedings of the Third European Workshop on Probabilistic Graphical Models (pp. 43-50)

2005

Scholarly publications

Bolt, J. H., van der Gaag, L. C., & Renooij, S. (2005). Introducing situational signs in qualitative probabilistic networks. International Journal of Approximate Reasoning, 38, 333-354.

2004

Scholarly publications

Bolt, J. H., & van der Gaag, L. C. (2004). On the convergence error in loopy propagation. In R. Verbrugge, N. Taatgen, & L. Schomaker (Eds.), Proceedings of the Sixteenth Belgium-Netherlands Conference on Artificial Intelligence (pp. 267-274)
Bolt, J. H., & van der Gaag, L. C. (2004). The convergence error in loopy propagation. In International Conference on Advances in Intelligent Systems - Theory and Applications IEEE Computer Society.
Bolt, J. H., van der Gaag, L. C., & Renooij, S. (2004). The practicability of situational signs for QPNs. In Proceedings of the Tenth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 1691-1698).
Bolt, J. H., van der Gaag, L. C., & Renooij, S. (2004). Introducing Situational Signs in Qualitative Probabilistic Networks. (UU-CS ed.) Utrecht University: Information and Computing Sciences.
https://dspace.library.uu.nl/bitstream/handle/1874/18033/bolt_04_introducing_situational.pdf?sequence=1
Bolt, J. H., & van der Gaag, L. C. (2004). Decisiveness in loopy propagation. In P. Lucas (Ed.), Proceedings of the Second European Workshop on Probabilistic Graphical Models (pp. 25-32)

2003

Scholarly publications

Bolt, J. H., Renooij, S., & van der Gaag, L. C. (2003). Upgrading ambiguous signs in QPNs. In C. Meek, & U. Kjaerulff (Eds.), Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (pp. 73-80). Morgan Kaufmann Publishers. http://www.cs.uu.nl/groups/DSS/publications/qpn/upgradingambiguoussings2003.ps
Bolt, J. H., van der Gaag, L. C., & Renooij, S. (2003). Introducing situational influences in QPNs. In T. D. Nielsen, & N. L. Zhang (Eds.), Proceedings of the Seventh European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (pp. 113-124). (Lecture Notes in Artificial Intelligence; Vol. 2711). Springer. http://www.cs.uu.nl/groups/DSS/publications/qpn/introducingsituationalinfluences2003.ps