Janneke H. Bolt

29 papers A 3C 6Journal 8Unranked 11
YearRankTypeTitle / Venue / Authors
2025 C conf
Involving Uncertainty in Bayesian Network Tuning.
ECSQARU
Janneke H. Bolt, Arjen Hommersom, Silja Renooij
2025 J jnl
Self-adhesivity in lattices of abstract conditional independence models.
Discret. Appl. Math.
Tobias Boege, Janneke H. Bolt, Milan Studený
2025 J jnl
Special issue on the Twelfth International Conference on Probabilistic Graphical Models (PGM 2024).
Int. J. Approx. Reason.
Silja Renooij, Johan Kwisthout, Janneke H. Bolt
2024 — conf
Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support (Short Paper).
HC@AIxIA
Janneke H. Bolt, Anna Berghuis, Arjen Hommersom, Marike Lombaers, Johanna M. A. Pijnenborg, Silja Renooij
2024 J jnl
Self-adhesivity in lattices of abstract conditional independence models.
CoRR
Tobias Boege, Janneke H. Bolt, Milan Studený
2023 J jnl
Two generalizations of the semi-graphoid rule of probabilistic independence and more.
Int. J. Approx. Reason.
Janneke H. Bolt
2021 C conf
Generalized Rules of Probabilistic Independence.
ECSQARU
Janneke H. Bolt, Linda C. van der Gaag
2020 J jnl
A lattice-based representation of independence relations for efficient closure computation.
Int. J. Approx. Reason.
Linda C. van der Gaag, Marco Baioletti, Janneke H. Bolt
2020 — conf
Poset Representations for Sets of Elementary Triplets.
PGM
Linda C. van der Gaag, Janneke H. Bolt
2019 — conf
On Minimum Elementary-Triplet Bases for Independence Relations.
ISIPTA
Janneke H. Bolt, Linda C. van der Gaag
2018 — conf
A Lattice Representation of Independence Relations.
PGM
Linda C. van der Gaag, Marco Baioletti, Janneke H. Bolt
2017 J jnl
Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers.
Int. J. Approx. Reason.
Janneke H. Bolt, Linda C. van der Gaag
2017 C conf
Structure-Based Categorisation of Bayesian Network Parameters.
ECSQARU
Janneke H. Bolt, Silja Renooij
2016 — conf
Bayesian Networks: a Combined Tuning Heuristic.
Probabilistic Graphical Models
Janneke H. Bolt
2016 A conf
Exploiting Bayesian Network Sensitivity Functions for Inference in Credal Networks.
ECAI
Janneke H. Bolt, Jasper De Bock, Silja Renooij
2015 C conf
Balanced Tuning of Multi-dimensional Bayesian Network Classifiers.
ECSQARU
Janneke H. Bolt, Linda C. van der Gaag
2014 — conf
Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter Shifts.
Probabilistic Graphical Models
Janneke H. Bolt, Silja Renooij
2014 A conf
Sensitivity of Multi-dimensional Bayesian Classifiers.
ECAI
Janneke H. Bolt, Silja Renooij
2014 — conf
The General Expression of the Prior Convergence Error: A Proof.
IPMU (1)
Janneke H. Bolt
2012 J jnl
Upgrading Ambiguous Signs in QPNs
CoRR
Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag
2010 — conf
An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network.
IPMU (1)
Janneke H. Bolt, Linda C. van der Gaag
2010 C conf
Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever.
IPMU
Linda C. van der Gaag, Janneke H. Bolt, Willie Loeffen, Armin Elbers
2009 — conf
Bayesian Networks: The Parental Synergy and the Prior Convergence Error.
AI*IA
Janneke H. Bolt
2008 — —
Bayesian Networks: Aspects of Approximate Inference.
Janneke H. Bolt
2006 — conf
Loopy Propagation: the Convergence Error in Markov Networks.
Probabilistic Graphical Models
Janneke H. Bolt
2006 — conf
Preprocessing the MAP Problem.
Probabilistic Graphical Models
Janneke H. Bolt, Linda C. van der Gaag
2005 J jnl
Introducing situational signs in qualitative probabilistic networks.
Int. J. Approx. Reason.
Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij
2003 C conf
Introducing Situational Influences in QPNs.
ECSQARU
Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij
2003 A conf
Upgrading Ambiguous Signs in QPNs.
UAI
Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag