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ORCIDJanneke H. Bolt
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2020 – today
- 2025
[j5]Tobias Boege
, Janneke H. Bolt, Milan Studený:
Self-adhesivity in lattices of abstract conditional independence models. Discret. Appl. Math. 361: 196-225 (2025)- 2024
- [i2]Tobias Boege, Janneke H. Bolt, Milan Studený:
Self-adhesivity in lattices of abstract conditional independence models. CoRR abs/2402.14053 (2024) - 2023
- [j4]Janneke H. Bolt:
Two generalizations of the semi-graphoid rule of probabilistic independence and more. Int. J. Approx. Reason. 161: 108985 (2023) - 2021
- [c18]Janneke H. Bolt, Linda C. van der Gaag:
Generalized Rules of Probabilistic Independence. ECSQARU 2021: 590-602 - 2020
- [j3]Linda C. van der Gaag, Marco Baioletti, Janneke H. Bolt:
A lattice-based representation of independence relations for efficient closure computation. Int. J. Approx. Reason. 126: 272-289 (2020) - [c17]Linda C. van der Gaag, Janneke H. Bolt:
Poset Representations for Sets of Elementary Triplets. PGM 2020: 521-532
2010 – 2019
- 2019
- [c16]Janneke H. Bolt, Linda C. van der Gaag:
On Minimum Elementary-Triplet Bases for Independence Relations. ISIPTA 2019: 32-37 - 2018
- [c15]Linda C. van der Gaag, Marco Baioletti, Janneke H. Bolt:
A Lattice Representation of Independence Relations. PGM 2018: 487-498 - 2017
- [j2]Janneke H. Bolt, Linda C. van der Gaag:
Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers. Int. J. Approx. Reason. 80: 361-376 (2017) - [c14]Janneke H. Bolt, Silja Renooij:
Structure-Based Categorisation of Bayesian Network Parameters. ECSQARU 2017: 83-92 - 2016
- [c13]Janneke H. Bolt, Jasper De Bock, Silja Renooij:
Exploiting Bayesian Network Sensitivity Functions for Inference in Credal Networks. ECAI 2016: 646-654 - [c12]Janneke H. Bolt:
Bayesian Networks: a Combined Tuning Heuristic. Probabilistic Graphical Models 2016: 37-49 - 2015
- [c11]Janneke H. Bolt, Linda C. van der Gaag:
Balanced Tuning of Multi-dimensional Bayesian Network Classifiers. ECSQARU 2015: 210-220 - 2014
- [c10]Janneke H. Bolt, Silja Renooij:
Sensitivity of Multi-dimensional Bayesian Classifiers. ECAI 2014: 971-972 - [c9]Janneke H. Bolt:
The General Expression of the Prior Convergence Error: A Proof. IPMU (1) 2014: 496-505 - [c8]Janneke H. Bolt, Silja Renooij:
Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter Shifts. Probabilistic Graphical Models 2014: 65-80 - 2012
- [i1]Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag:
Upgrading Ambiguous Signs in QPNs. CoRR abs/1212.2445 (2012) - 2010
- [c7]Janneke H. Bolt, Linda C. van der Gaag:
An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network. IPMU (1) 2010: 11-20 - [c6]Linda C. van der Gaag, Janneke H. Bolt, Willie Loeffen, Armin Elbers:
Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever. IPMU 2010: 675-684
2000 – 2009
- 2009
- [c5]Janneke H. Bolt:
Bayesian Networks: The Parental Synergy and the Prior Convergence Error. AI*IA 2009: 1-10 - 2008
- [b1]Janneke H. Bolt:
Bayesian Networks: Aspects of Approximate Inference. Utrecht University, Netherlands, 2008 - 2006
- [c4]Janneke H. Bolt:
Loopy Propagation: the Convergence Error in Markov Networks. Probabilistic Graphical Models 2006: 43-50 - [c3]Janneke H. Bolt, Linda C. van der Gaag:
Preprocessing the MAP Problem. Probabilistic Graphical Models 2006: 51-58 - 2005
- [j1]Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij:
Introducing situational signs in qualitative probabilistic networks. Int. J. Approx. Reason. 38(3): 333-354 (2005) - 2003
- [c2]Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij:
Introducing Situational Influences in QPNs. ECSQARU 2003: 113-124 - [c1]Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag:
Upgrading Ambiguous Signs in QPNs. UAI 2003: 73-80
Coauthor Index
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