Multi-dimensional classification with naive Bayesian network classifiers
Janneke H Bolt , Linda C van der Gaag
Smpte Journal 27 -34
2
2012
An empirical study of the use of the noisy-or model in a real-life Bayesian network
Janneke H Bolt , Linda C van der Gaag
IPMU 2010: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods 11 -20
21
2010
The convergence error in loopy propagation
Janneke H Bolt , Linda C van der Gaag
AISTA 2004: International Conference on Advances in Intelligent Systems: Theory and Applications, in cooperation with the IEEE computer society, Luxembourg
14
2004
Generalized rules of probabilistic independence
Janneke H Bolt , Linda C van der Gaag
Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 16th European Conference, ECSQARU 2021, Prague, Czech Republic, September 21–24, 2021, Proceedings 16 590 -602
3
2021
Poset representations for sets of elementary triplets
Linda C van der Gaag , Janneke H Bolt
PGM 2020: Proceedings of Machine Learning Research
2020
Upgrading ambiguous signs in QPNs
Janneke H Bolt , Silja Renooij , Linda C van der Gaag
Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI)
13
2003
Bayesian networks: the parental synergy
Janneke H Bolt
Proceedings of the Fourth European Workshop on Probabilistic Graphical Models 33 -40
4
2008
The practicability of situational signs for QPNs
Janneke H Bolt , Linda C van der Gaag , Silja Renooij
Proc. of the International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU) 1691 -1698
3
2004
Self-adhesivity in lattices of abstract conditional independence models
Tobias Boege , Janneke H Bolt , Milan Studený
arXiv preprint arXiv:2402.14053
1
2024
Two generalizations of the semi-graphoid rule of probabilistic independence and more
Janneke H Bolt
International Journal of Approximate Reasoning 161 108985 -108985
1
2023
Robustness of Multi-dimensional Bayesian Network Classifiers
Janneke H Bolt , Silja Renooij
10: 50–11: 20 Coffee Break 11: 20–12: 30 Inference II (Propagation) Chair: José A. Gámez
Janneke H Bolt , Changhe Yuan , Marek J Druzdzel , Johan Kwisthout
Bayesian Networks: the Range of the Prior Convergence Error
JH Bolt
BNAIC 2009 Benelux Conference on Artificial Intelligence 35 -35
Loopy Propagation: the Convergence Error in Markov Networks.
Janneke H. Bolt
probabilistic graphical models 43 -50
1
2006
Sensitivity of multi-dimensional Bayesian classifiers
Silja Renooij , Janneke H. Bolt
european conference on artificial intelligence 263 971 -972
2014
Preprocessing the MAP Problem.
Linda C. van der Gaag , Janneke H. Bolt
probabilistic graphical models 51 -58
5
2006
Bayesian networks: a combined tuning heuristic
Janneke H. Bolt
probabilistic graphical models 52 37 -49
1
2016
Exploiting Bayesian network sensitivity functions for inference in credal networks
Silja Renooij , Janneke H. Bolt , Jasper De Bock
european conference on artificial intelligence 285 646 -654
4
2016
A lattice-based representation of independence relations for efficient closure computation
Linda C. van der Gaag , Marco Baioletti , Janneke H. Bolt
International Journal of Approximate Reasoning 126 272 -289
2020
The General Expression of the Prior Convergence Error: A Proof
Janneke H. Bolt
information processing and management of uncertainty 442 496 -505
2014