default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLinda C. van der Gaag
Person information
- affiliation: Utrecht University, Netherlands
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[c89]Janneke H. Bolt, Linda C. van der Gaag:
Generalized Rules of Probabilistic Independence. ECSQARU 2021: 590-602- 2020
- [j29]Zeynep Akata, Dan Balliet, Maarten de Rijke
, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen V. Hindriks, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda C. van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling:
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer 53(8): 18-28 (2020) - [j28]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) - [j27]Giulianella Coletti, Linda C. van der Gaag, Davide Petturiti, Barbara Vantaggi:
Detecting correlation between extreme probability events. Int. J. Gen. Syst. 49(1): 64-87 (2020) - [c88]Linda C. van der Gaag, Silja Renooij, Alessandro Facchini:
Building Causal Interaction Models by Recursive Unfolding. PGM 2020: 509-520 - [c87]Linda C. van der Gaag, Janneke H. Bolt:
Poset Representations for Sets of Elementary Triplets. PGM 2020: 521-532
2010 – 2019
- 2019
- [c86]Janneke H. Bolt, Linda C. van der Gaag:
On Minimum Elementary-Triplet Bases for Independence Relations. ISIPTA 2019: 32-37 - [c85]Alvaro Henrique Chaim Correia, Cassio P. de Campos, Linda C. van der Gaag:
An Experimental Study of Prior Dependence in Bayesian Network Structure Learning. ISIPTA 2019: 78-81 - [c84]Silja Renooij, Linda C. van der Gaag, Philippe Leray:
On Intercausal Interactions in Probabilistic Relational Models. ISIPTA 2019: 327-329 - [c83]Silja Renooij, Linda C. van der Gaag:
The Hidden Elegance of Causal Interaction Models. SUM 2019: 38-51 - 2018
- [c82]Linda C. van der Gaag, Marco Baioletti, Janneke H. Bolt:
A Lattice Representation of Independence Relations. PGM 2018: 487-498 - [c81]Linda C. van der Gaag, Andrea Capotorti:
Naive Bayesian Classifiers with Extreme Probability Features. PGM 2018: 499-510 - [c80]Linda C. van der Gaag, Philippe Leray:
Qualitative Probabilistic Relational Models. SUM 2018: 276-289 - 2017
- [j26]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) - [j25]Stavros Lopatatzidis, Linda C. van der Gaag:
Concise representations and construction algorithms for semi-graphoid independency models. Int. J. Approx. Reason. 80: 377-392 (2017) - [c79]Remi Wieten, Floris Bex, Linda C. van der Gaag, Henry Prakken, Silja Renooij:
Refining a Heuristic for Constructing Bayesian Networks from Structured Arguments. BNCAI 2017: 32-45 - [c78]Linda C. van der Gaag, Stavros Lopatatzidis:
Exploiting Stability for Compact Representation of Independency Models. ECSQARU 2017: 104-114 - 2016
- [j24]Andrés R. Masegosa, A. J. Feelders, Linda C. van der Gaag:
Learning from incomplete data in Bayesian networks with qualitative influences. Int. J. Approx. Reason. 69: 18-34 (2016) - 2015
- [j23]Steven P. D. Woudenberg, Linda C. van der Gaag:
Propagation effects of model-calculated probability values in Bayesian networks. Int. J. Approx. Reason. 61: 1-15 (2015) - [j22]Steven P. D. Woudenberg, Linda C. van der Gaag, Carin M. A. Rademaker:
An intercausal cancellation model for Bayesian-network engineering. Int. J. Approx. Reason. 63: 32-47 (2015) - [c77]Arnoud Pastink, Linda C. van der Gaag:
Multi-classifiers of Small Treewidth. ECSQARU 2015: 199-209 - [c76]Janneke H. Bolt, Linda C. van der Gaag:
Balanced Tuning of Multi-dimensional Bayesian Network Classifiers. ECSQARU 2015: 210-220 - [c75]Stavros Lopatatzidis, Linda C. van der Gaag:
Computing Concise Representations of Semi-graphoid Independency Models. ECSQARU 2015: 290-300 - [c74]Michelle Meekes, Silja Renooij, Linda C. van der Gaag:
Relevance of Evidence in Bayesian Networks. ECSQARU 2015: 366-375 - 2014
- [c73]Thomas E. Krak, Linda C. van der Gaag:
Knowledge-based Bias Correction - A Case Study in Veterinary Decision Support. ECAI 2014: 489-494 - [c72]Arnoud Pastink, Linda C. van der Gaag:
The Persistence of Most Probable Explanations in Bayesian Networks. ECAI 2014: 693-698 - [c71]Merel T. Rietbergen, Linda C. van der Gaag, Hans L. Bodlaender:
Provisional Propagation for Verifying Monotonicity of Bayesian Networks. ECAI 2014: 759-764 - [c70]Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers:
Real-time Adaptive Problem Detection in Poultry. ECAI 2014: 1217-1218 - [c69]Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers:
Real-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability. IDA 2014: 380-392 - [e4]Linda C. van der Gaag, A. J. Feelders:
Probabilistic Graphical Models - 7th European Workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014. Proceedings. Lecture Notes in Computer Science 8754, Springer 2014, ISBN 978-3-319-11432-3 [contents] - 2013
- [e3]Linda C. van der Gaag:
Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 12th European Conference, ECSQARU 2013, Utrecht, The Netherlands, July 8-10, 2013. Proceedings. Lecture Notes in Computer Science 7958, Springer 2013, ISBN 978-3-642-39090-6 [contents] - [i19]Silja Renooij, Linda C. van der Gaag:
From Qualitative to Quantitative Probabilistic Networks. CoRR abs/1301.0596 (2013) - [i18]Hans L. Bodlaender, Arie M. C. A. Koster, Frank van den Eijkhof, Linda C. van der Gaag:
Pre-processing for Triangulation of Probabilistic Networks. CoRR abs/1301.2256 (2013) - [i17]Linda C. van der Gaag, Silja Renooij:
Analysing Sensitivity Data from Probabilistic Networks. CoRR abs/1301.2314 (2013) - [i16]Uffe Kjærulff, Linda C. van der Gaag:
Making Sensitivity Analysis Computationally Efficient. CoRR abs/1301.3868 (2013) - [i15]Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green:
Pivotal Pruning of Trade-offs in QPNs. CoRR abs/1301.3889 (2013) - [i14]Silja Renooij, Linda C. van der Gaag:
Enhancing QPNs for Trade-off Resolution. CoRR abs/1301.6735 (2013) - [i13]Linda C. van der Gaag, Silja Renooij, Cilia Witteman, Berthe M. P. Aleman, Babs G. Taal:
How to Elicit Many Probabilities. CoRR abs/1301.6745 (2013) - [i12]Marek J. Druzdzel, Linda C. van der Gaag:
Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. CoRR abs/1302.4943 (2013) - [i11]Linda C. van der Gaag:
Computing Probability Intervals Under Independency Constraints. CoRR abs/1304.1140 (2013) - 2012
- [c68]Linda C. van der Gaag, Silja Renooij, Hermina Schijf, Armin Elbers, Willie Loeffen:
Experiences with Eliciting Probabilities from Multiple Experts. IPMU (3) 2012: 151-160 - [c67]Roel Bertens, Linda C. van der Gaag, Silja Renooij:
Discretisation Effects in Naive Bayesian Networks. IPMU (3) 2012: 161-170 - [i10]Johan Kwisthout, Linda C. van der Gaag:
The Computational Complexity of Sensitivity Analysis and Parameter Tuning. CoRR abs/1206.3265 (2012) - [i9]Theodore Charitos, Linda C. van der Gaag:
Sensitivity Analysis for Threshold Decision Making with Dynamic Networks. CoRR abs/1206.6818 (2012) - [i8]Peter R. de Waal, Linda C. van der Gaag:
Stable Independence in Perfect Maps. CoRR abs/1207.1351 (2012) - [i7]Silja Renooij, Linda C. van der Gaag:
Exploiting Evidence-dependent Sensitivity Bounds. CoRR abs/1207.1357 (2012) - [i6]Ad Feelders, Linda C. van der Gaag:
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. CoRR abs/1207.1387 (2012) - [i5]Peter R. de Waal, Linda C. van der Gaag:
Stable Independance and Complexity of Representation. CoRR abs/1207.4120 (2012) - [i4]Linda C. van der Gaag, Hans L. Bodlaender, Ad Feelders:
Monotonicity in Bayesian Networks. CoRR abs/1207.4160 (2012) - [i3]Silja Renooij, Linda C. van der Gaag:
Evidence-invariant Sensitivity Bounds. CoRR abs/1207.4170 (2012) - [i2]Ronald Parr, Linda C. van der Gaag:
Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (2007). CoRR abs/1208.5155 (2012) - [i1]Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag:
Upgrading Ambiguous Signs in QPNs. CoRR abs/1212.2445 (2012) - 2011
- [c66]Steven P. D. Woudenberg, Linda C. van der Gaag:
Using the Noisy-OR Model Can Be Harmful ... But It Often Is Not. ECSQARU 2011: 122-133 - [c65]Merel T. Rietbergen, Linda C. van der Gaag:
Attaining Monotonicity for Bayesian Networks. ECSQARU 2011: 134-145 - [c64]Linda C. van der Gaag, Hans L. Bodlaender:
On Stopping Evidence Gathering for Diagnostic Bayesian Networks. ECSQARU 2011: 170-181 - [c63]Barbara F. I. Pieters, Linda C. van der Gaag, Ad Feelders:
When Learning Naive Bayesian Classifiers Preserves Monotonicity. ECSQARU 2011: 422-433 - [c62]Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag:
The Complexity of Finding kth Most Probable Explanations in Probabilistic Networks. SOFSEM 2011: 356-367 - 2010
- [j21]Linda C. van der Gaag, Hermina J. M. Tabachneck-Schijf:
Library-style ontologies to support varying model views. Int. J. Approx. Reason. 51(2): 196-208 (2010) - [c61]Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag:
The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks. ECAI 2010: 237-242 - [c60]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 - [c59]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
- [j20]Theodore Charitos, Linda C. van der Gaag, Stefan Visscher, Karin Schurink, Peter J. F. Lucas:
A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. Expert Syst. Appl. 36(2): 1249-1258 (2009) - [j19]Linda C. van der Gaag, Russell G. Almond:
Preface. Int. J. Approx. Reason. 50(3): 415 (2009) - [j18]Linda C. van der Gaag, Hermina J. M. Tabachneck-Schijf, Petra L. Geenen:
Verifying monotonicity of Bayesian networks with domain experts. Int. J. Approx. Reason. 50(3): 429-436 (2009) - [c58]Linda C. van der Gaag, Silja Renooij, Wilma Steeneveld, Henk Hogeveen:
When in Doubt ... Be Indecisive. ECSQARU 2009: 518-529 - [c57]Linda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser:
Aligning Bayesian Network Classifiers with Medical Contexts. MLDM 2009: 787-801 - 2008
- [j17]Silja Renooij, Linda C. van der Gaag:
Enhanced qualitative probabilistic networks for resolving trade-offs. Artif. Intell. 172(12-13): 1470-1494 (2008) - [j16]Silja Renooij, Linda C. van der Gaag:
Evidence and scenario sensitivities in naive Bayesian classifiers. Int. J. Approx. Reason. 49(2): 398-416 (2008) - [c56]Johan Kwisthout, Linda C. van der Gaag:
The Computational Complexity of Sensitivity Analysis and Parameter Tuning. UAI 2008: 349-356 - 2007
- [j15]Theodore Charitos, Peter R. de Waal, Linda C. van der Gaag:
Convergence in Markovian models with implications for efficiency of inference. Int. J. Approx. Reason. 46(2): 300-319 (2007) - [j14]Eveline M. Helsper, Linda C. van der Gaag:
Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain. Knowl. Eng. Rev. 22(1): 67-86 (2007) - [c55]Danielle Sent, Linda C. van der Gaag:
On the Behaviour of Information Measures for Test Selection. AIME 2007: 316-325 - [c54]Danielle Sent, Linda C. van der Gaag:
Enhancing Automated Test Selection in Probabilistic Networks. AIME 2007: 331-335 - [c53]Peter R. de Waal, Linda C. van der Gaag:
Inference and Learning in Multi-dimensional Bayesian Network Classifiers. ECSQARU 2007: 501-511 - [c52]Hermina J. M. Tabachneck-Schijf, Linda C. van der Gaag:
Library-style Ontologies to Support Varying Model Views. BMA 2007 - [e2]Ronald Parr, Linda C. van der Gaag:
UAI 2007, Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence, Vancouver, BC, Canada, July 19-22, 2007. AUAI Press 2007, ISBN 0-9749039-3-0 [contents] - 2006
- [j13]A. J. Feelders, Linda C. van der Gaag:
Learning Bayesian network parameters under order constraints. Int. J. Approx. Reason. 42(1-2): 37-53 (2006) - [c51]Theodore Charitos, Linda C. van der Gaag:
Sensitivity Analysis of Markovian Models. FLAIRS 2006: 806-811 - [c50]Danielle Sent, Linda C. van der Gaag:
Automated Test Selection in Decision-Support Systems: a Case Study in Oncology. MIE 2006: 491-496 - [c49]Janneke H. Bolt, Linda C. van der Gaag:
Preprocessing the MAP Problem. Probabilistic Graphical Models 2006: 51-58 - [c48]Linda C. van der Gaag, Silja Renooij, Petra L. Geenen:
Lattices for Studying Monotonicity of Bayesian Networks. Probabilistic Graphical Models 2006: 99-106 - [c47]Linda C. van der Gaag, Peter R. de Waal:
Multi-dimensional Bayesian Network Classifiers. Probabilistic Graphical Models 2006: 107-114 - [c46]Silja Renooij, Linda C. van der Gaag:
Evidence and Scenario Sensitivities in Naive Bayesian Classifiers. Probabilistic Graphical Models 2006: 255-262 - [c45]Theodore Charitos, Linda C. van der Gaag:
Sensitivity Analysis for Threshold Decision Making with Dynamic Networks. UAI 2006 - 2005
- [j12]Danielle Sent, Linda C. van der Gaag:
Generalised reliability characteristics for probabilistic networks. Artif. Intell. Medicine 34(1): 41-52 (2005) - [j11]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) - [c44]Theodore Charitos, Peter R. de Waal, Linda C. van der Gaag:
Speeding Up Inference in Markovian Models. FLAIRS 2005: 785-790 - [c43]Martijn M. Schrage, Arjan van IJzendoorn, Linda C. van der Gaag:
Haskell ready to dazzle the real world. Haskell 2005: 17-26 - [c42]Eveline M. Helsper, Linda C. van der Gaag, A. J. Feelders, Willie Loeffen, Petra L. Geenen, Armin Elbers:
Bringing order into bayesian-network construction. K-CAP 2005: 121-128 - [c41]Peter R. de Waal, Linda C. van der Gaag:
Stable Independence in Perfect Maps. UAI 2005: 161-168 - [c40]A. J. Feelders, Linda C. van der Gaag:
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. UAI 2005: 193-200 - [c39]Silja Renooij, Linda C. van der Gaag:
Exploiting Evidence-dependent Sensitivity Bounds. UAI 2005: 485-492 - 2004
- [j10]Peter J. F. Lucas, Linda C. van der Gaag, Ameen Abu-Hanna:
Bayesian networks in biomedicine and health-care. Artif. Intell. Medicine 30(3): 201-214 (2004) - [c38]Madalina M. Drugan, Linda C. van der Gaag:
A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers. ECAI 2004: 999-1000 - [c37]Linda C. van der Gaag, Eveline M. Helsper:
Defining Classes of Influences for the Acquisition of Probability Constraints for Bayesian Networks. ECAI 2004: 1101-1102 - [c36]Eveline M. Helsper, Linda C. van der Gaag, Floris Groenendaal:
Designing a Procedure for the Acquisition of Probability Constraints for Bayesian Networks. EKAW 2004: 280-292 - [c35]Petra L. Geenen, Linda C. van der Gaag, Willie Loeffen, Armin Elbers:
On the Robustness of Feature Selection with Absent and Non-observed Features. ISBMDA 2004: 148-159 - [c34]Rosa Blanco, Linda C. van der Gaag, Iñaki Inza, Pedro Larrañaga:
Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer. ISBMDA 2004: 212-223 - [c33]Peter R. de Waal, Linda C. van der Gaag:
Stable Independance and Complexity of Representation. UAI 2004: 112-119 - [c32]Silja Renooij, Linda C. van der Gaag:
Evidence-invariant Sensitivity Bounds. UAI 2004: 479-486 - [c31]Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders:
Monotonicity in Bayesian Networks. UAI 2004: 569-576 - 2003
- [c30]Danielle Sent, Linda C. van der Gaag:
Detailing Test Characteristics for Probabilistic Networks. AIME 2003: 254-263 - [c29]Linda C. van der Gaag, Silja Renooij:
Probabilistic Networks as Probabilistic Forecasters. AIME 2003: 294-298 - [c28]Wouter P. van Rijsinge, Linda C. van der Gaag, Frank L. J. Visseren, Yolanda van der Graaf:
Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer. AIME 2003: 340-344 - [c27]Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij:
Introducing Situational Influences in QPNs. ECSQARU 2003: 113-124 - [c26]Steven van Dijk, Dirk Thierens, Linda C. van der Gaag:
Building a GA from Design Principles for Learning Bayesian Networks. GECCO 2003: 886-897 - [c25]Danielle Sent, Linda C. van der Gaag, Cilia Witteman, Berthe M. P. Aleman, Babs G. Taal:
On the Use of Vignettes for Eliciting Test-Selection Strategies. MIE 2003: 510-515 - [c24]Steven van Dijk, Linda C. van der Gaag, Dirk Thierens:
A Skeleton-Based Approach to Learning Bayesian Networks from Data. PKDD 2003: 132-143 - [c23]Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag:
Upgrading Ambiguous Signs in QPNs. UAI 2003: 73-80 - 2002
- [j9]Silja Renooij, Linda C. van der Gaag, Simon Parsons:
Context-specific sign-propagation in qualitative probabilistic networks. Artif. Intell. 140(1/2): 207-230 (2002) - [j8]Veerle M. H. Coupé, Linda C. van der Gaag:
Properties of Sensitivity Analysis of Bayesian Belief Networks. Ann. Math. Artif. Intell. 36(4): 323-356 (2002) - [j7]Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, Berthe M. P. Aleman, Babs G. Taal:
Probabilities for a probabilistic network: a case study in oesophageal cancer. Artif. Intell. Medicine 25(2): 123-148 (2002) - [c22]Silja Renooij, Linda C. van der Gaag, Simon Parsons:
Propagation of Multiple Observations in QPNs Revisited. ECAI 2002: 665-669 - [c21]Hans L. Bodlaender, Frank van den Eijkhof, Linda C. van der Gaag:
On the Complexity of the MPA Problem in Probabilistic Networks. ECAI 2002: 675-679 - [c20]Eveline M. Helsper, Linda C. van der Gaag:
Building Bayesian Networks through Ontologies. ECAI 2002: 680-684 - [c19]Linda C. van der Gaag, Eveline M. Helsper:
Experiences with Modelling Issues in Building Probabilistic Networks. EKAW 2002: 21-26 - [c18]Silja Renooij, Linda C. van der Gaag:
From Qualitative to Quantitative Probabilistic Networks. UAI 2002: 422-429 - 2001
- [c17]Linda C. van der Gaag, C. L. M. Witteman, Silja Renooij, Michael Egmont-Petersen:
The Effects of Disregarding Test Characteristics in Probabilistic Networks. AIME 2001: 188-198 - [c16]Linda C. van der Gaag, Silja Renooij:
On the Evaluation of Probabilistic Networks. AIME 2001: 457-461 - [c15]Silja Renooij, Simon Parsons, Linda C. van der Gaag:
Context-specific Sign-propagation in Qualitative Probabilistic Networks. IJCAI 2001: 667-672 - [c14]Hans L. Bodlaender, Arie M. C. A. Koster, Frank van den Eijkhof, Linda C. van der Gaag:
Pre-processing for Triangulation of Probabilistic Networks. UAI 2001: 32-39 - [c13]Linda C. van der Gaag, Silja Renooij:
Analysing Sensitivity Data from Probabilistic Networks. UAI 2001: 530-537 - 2000
- [c12]Silja Renooij, Linda C. van der Gaag, Shaw Green, Simon Parsons:
Zooming in on Trade-Offs in Qualitative Probabilistic Networks. FLAIRS 2000: 303-307 - [c11]Uffe Kjærulff, Linda C. van der Gaag:
Making Sensitivity Analysis Computationally Efficient. UAI 2000: 317-325 - [c10]Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green:
Pivotal Pruning of Trade-offs in QPNs. UAI 2000: 515-522 - [e1]Marek J. Druzdzel, Linda C. van der Gaag:
Building Probabilistic Networks: "Where Do the Numbers Come From?" Guest Editors Introduction. IEEE Trans. Knowl. Data Eng. 12(4): 481-486 (2000)
1990 – 1999
- 1999
- [c9]Linda C. van der Gaag, Veerle M. H. Coupé:
Sensitive Analysis for Threshold Decision Making with Bayesian Belief Networks. AI*IA 1999: 37-48 - [c8]Silja Renooij, Linda C. van der Gaag:
Enhancing QPNs for Trade-off Resolution. UAI 1999: 559-566 - [c7]Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, Berthe M. P. Aleman, Babs G. Taal:
How to Elicit Many Probabilities. UAI 1999: 647-654 - 1998
- [j6]Linda C. van der Gaag, John-Jules Ch. Meyer:
Informational independence: Models and normal forms. Int. J. Intell. Syst. 13(1): 83-109 (1998) - [c6]Silja Renooij, Linda C. van der Gaag:
Decision Making in Qualitative Influence Diagrams. FLAIRS 1998: 410-414 - 1997
- [c5]Veerle M. H. Coupé, Linda C. van der Gaag:
Supporting Probability Elicitation by Sensitivity Analysis. EKAW 1997: 335-340 - 1996
- [j5]Linda C. van der Gaag:
Bayesian Belief Networks: Odds and Ends. Comput. J. 39(2): 97-113 (1996) - [j4]Linda C. van der Gaag:
On evidence absorption for belief networks. Int. J. Approx. Reason. 15(3): 265-286 (1996) - 1995
- [c4]Niels Peek, Linda C. van der Gaag:
A Case-based Filter for Diagnostic Belief Networks. SCAI 1995: 196-207 - [c3]Marek J. Druzdzel, Linda C. van der Gaag:
Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. UAI 1995: 141-148 - 1993
- [j3]Gerry Kelleher, Linda C. van der Gaag:
The LazyRMS: Avoiding Work in the ATMS. Comput. Intell. 9: 239-253 (1993) - [c2]Peter Bruza, Linda C. van der Gaag:
Efficient Context-Sensitive Plausible Inference for Information Disclosure. SIGIR 1993: 12-21 - 1991
- [b1]Peter J. F. Lucas, Linda C. van der Gaag:
Principles of expert systems. International computer science series, Addison-Wesley 1991, ISBN 978-0-201-41640-4, pp. I-XVII, 1-518 - 1990
- [j2]Linda C. van der Gaag:
Different Notions of Uncertainty in Quasi-Probabilistic Models. Int. J. Man Mach. Stud. 33(5): 595-606 (1990) - [c1]Linda C. van der Gaag:
Computing probability intervals under independency constraints. UAI 1990: 457-466
1980 – 1989
- 1989
- [j1]Linda C. van der Gaag:
A conceptual model for inexact reasoning in rule-based systems. Int. J. Approx. Reason. 3(3): 239-258 (1989)
Coauthor Index
A. J. Feelders
aka: Ad Feelders
aka: Ad Feelders
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-04 21:14 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
