Linda C. van der Gaag

According to our database, Linda C. van der Gaag authored at least 118 papers between 1989 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Generalized Rules of Probabilistic Independence.

Janneke H. Bolt, Linda C. van der Gaag

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020

Detecting correlation between extreme probability events.

Giulianella Coletti, Linda C. van der Gaag, Davide Petturiti, Barbara Vantaggi

Int. J. Gen. Syst., 2020

A lattice-based representation of independence relations for efficient closure computation.

Linda C. van der Gaag, Marco Baioletti, Janneke H. Bolt

Int. J. Approx. Reason., 2020

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence.

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

Computer, 2020

Building Causal Interaction Models by Recursive Unfolding.

Linda C. van der Gaag, Silja Renooij, Alessandro Facchini

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Poset Representations for Sets of Elementary Triplets.

Linda C. van der Gaag, Janneke H. Bolt

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

The Hidden Elegance of Causal Interaction Models.

Silja Renooij, Linda C. van der Gaag

Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

On Intercausal Interactions in Probabilistic Relational Models.

Silja Renooij, Linda C. van der Gaag, Philippe Leray

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

An Experimental Study of Prior Dependence in Bayesian Network Structure Learning.

Alvaro Henrique Chaim Correia, Cassio P. de Campos, Linda C. van der Gaag

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

On Minimum Elementary-Triplet Bases for Independence Relations.

Janneke H. Bolt, Linda C. van der Gaag

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

2018

Qualitative Probabilistic Relational Models.

Linda C. van der Gaag, Philippe Leray

Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018

Naive Bayesian Classifiers with Extreme Probability Features.

Linda C. van der Gaag, Andrea Capotorti

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

A Lattice Representation of Independence Relations.

Linda C. van der Gaag, Marco Baioletti, Janneke H. Bolt

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

2017

Concise representations and construction algorithms for semi-graphoid independency models.

Stavros Lopatatzidis, Linda C. van der Gaag

Int. J. Approx. Reason., 2017

Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers.

Janneke H. Bolt, Linda C. van der Gaag

Int. J. Approx. Reason., 2017

Exploiting Stability for Compact Representation of Independency Models.

Linda C. van der Gaag, Stavros Lopatatzidis

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Refining a Heuristic for Constructing Bayesian Networks from Structured Arguments.

Remi Wieten, Floris Bex, Linda C. van der Gaag, Henry Prakken, Silja Renooij

Proceedings of the Artificial Intelligence - 29th Benelux Conference, 2017

2016

Learning from incomplete data in Bayesian networks with qualitative influences.

Andrés R. Masegosa, A. J. Feelders, Linda C. van der Gaag

Int. J. Approx. Reason., 2016

2015

An intercausal cancellation model for Bayesian-network engineering.

Steven P. D. Woudenberg, Linda C. van der Gaag, Carin M. A. Rademaker

Int. J. Approx. Reason., 2015

Propagation effects of model-calculated probability values in Bayesian networks.

Steven P. D. Woudenberg, Linda C. van der Gaag

Int. J. Approx. Reason., 2015

Multi-classifiers of Small Treewidth.

Arnoud Pastink, Linda C. van der Gaag

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

Relevance of Evidence in Bayesian Networks.

Michelle Meekes, Silja Renooij, Linda C. van der Gaag

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

Computing Concise Representations of Semi-graphoid Independency Models.

Stavros Lopatatzidis, Linda C. van der Gaag

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

Balanced Tuning of Multi-dimensional Bayesian Network Classifiers.

Janneke H. Bolt, Linda C. van der Gaag

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014

Real-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability.

Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Real-time Adaptive Problem Detection in Poultry.

Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Provisional Propagation for Verifying Monotonicity of Bayesian Networks.

Merel T. Rietbergen, Linda C. van der Gaag, Hans L. Bodlaender

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

The Persistence of Most Probable Explanations in Bayesian Networks.

Arnoud Pastink, Linda C. van der Gaag

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Knowledge-based Bias Correction - A Case Study in Veterinary Decision Support.

Thomas E. Krak, Linda C. van der Gaag

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2012

Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (2007)

Ronald Parr, Linda C. van der Gaag

CoRR, 2012

Experiences with Eliciting Probabilities from Multiple Experts.

Linda C. van der Gaag, Silja Renooij, Hermina Schijf, Armin Elbers, Willie Loeffen

Proceedings of the Advances in Computational Intelligence, 2012

Discretisation Effects in Naive Bayesian Networks.

Roel Bertens, Linda C. van der Gaag, Silja Renooij

Proceedings of the Advances in Computational Intelligence, 2012

2011

The Complexity of Finding <i>k</i>th Most Probable Explanations in Probabilistic Networks.

Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag

Proceedings of the SOFSEM 2011: Theory and Practice of Computer Science, 2011

Using the Noisy-OR Model Can Be Harmful ... But It Often Is Not.

Steven P. D. Woudenberg, Linda C. van der Gaag

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

Attaining Monotonicity for Bayesian Networks.

Merel T. Rietbergen, Linda C. van der Gaag

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

When Learning Naive Bayesian Classifiers Preserves Monotonicity.

Barbara F. I. Pieters, Linda C. van der Gaag, Ad Feelders

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

On Stopping Evidence Gathering for Diagnostic Bayesian Networks.

Linda C. van der Gaag, Hans L. Bodlaender

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010

Library-style ontologies to support varying model views.

Linda C. van der Gaag, Hermina J. M. Tabachneck-Schijf

Int. J. Approx. Reason., 2010

Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever.

Linda C. van der Gaag, Janneke H. Bolt, Willie Loeffen, Armin Elbers

Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

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

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks.

Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag

Proceedings of the ECAI 2010, 2010

2009

Verifying monotonicity of Bayesian networks with domain experts.

Linda C. van der Gaag, Hermina J. M. Tabachneck-Schijf, Petra L. Geenen

Int. J. Approx. Reason., 2009

Preface.

Linda C. van der Gaag, Russell G. Almond

Int. J. Approx. Reason., 2009

A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients.

Theodore Charitos, Linda C. van der Gaag, Stefan Visscher, Karin Schurink, Peter J. F. Lucas

Expert Syst. Appl., 2009

Aligning Bayesian Network Classifiers with Medical Contexts.

Linda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

When in Doubt ... Be Indecisive.

Linda C. van der Gaag, Silja Renooij, Wilma Steeneveld, Henk Hogeveen

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008

Evidence and scenario sensitivities in naive Bayesian classifiers.

Silja Renooij, Linda C. van der Gaag

Int. J. Approx. Reason., 2008

Enhanced qualitative probabilistic networks for resolving trade-offs.

Silja Renooij, Linda C. van der Gaag

Artif. Intell., 2008

The Computational Complexity of Sensitivity Analysis and Parameter Tuning.

Johan Kwisthout, Linda C. van der Gaag

Proceedings of the UAI 2008, 2008

2007

Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain.

Eveline M. Helsper, Linda C. van der Gaag

Knowl. Eng. Rev., 2007

Convergence in Markovian models with implications for efficiency of inference.

Theodore Charitos, Peter R. de Waal, Linda C. van der Gaag

Int. J. Approx. Reason., 2007

Inference and Learning in Multi-dimensional Bayesian Network Classifiers.

Peter R. de Waal, Linda C. van der Gaag

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

Enhancing Automated Test Selection in Probabilistic Networks.

Danielle Sent, Linda C. van der Gaag

Proceedings of the Artificial Intelligence in Medicine, 2007

On the Behaviour of Information Measures for Test Selection.

Danielle Sent, Linda C. van der Gaag

Proceedings of the Artificial Intelligence in Medicine, 2007

2006

Learning Bayesian network parameters under order constraints.

A. J. Feelders, Linda C. van der Gaag

Int. J. Approx. Reason., 2006

Sensitivity Analysis for Threshold Decision Making with Dynamic Networks.

Theodore Charitos, Linda C. van der Gaag

Proceedings of the UAI '06, 2006

Multi-dimensional Bayesian Network Classifiers.

Linda C. van der Gaag, Peter R. de Waal

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Lattices for Studying Monotonicity of Bayesian Networks.

Linda C. van der Gaag, Silja Renooij, Petra L. Geenen

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Preprocessing the MAP Problem.

Janneke H. Bolt, Linda C. van der Gaag

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Automated Test Selection in Decision-Support Systems: a Case Study in Oncology.

Danielle Sent, Linda C. van der Gaag

Proceedings of the Ubiquity: Technologies for Better Health in Aging Societies, 2006

Sensitivity Analysis of Markovian Models.

Theodore Charitos, Linda C. van der Gaag

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2005

Introducing situational signs in qualitative probabilistic networks.

Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij

Int. J. Approx. Reason., 2005

Generalised reliability characteristics for probabilistic networks.

Danielle Sent, Linda C. van der Gaag

Artif. Intell. Medicine, 2005

Stable Independence in Perfect Maps.

Peter R. de Waal, Linda C. van der Gaag

Proceedings of the UAI '05, 2005

Exploiting Evidence-dependent Sensitivity Bounds.

Silja Renooij, Linda C. van der Gaag

Proceedings of the UAI '05, 2005

Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences.

A. J. Feelders, Linda C. van der Gaag

Proceedings of the UAI '05, 2005

Bringing order into bayesian-network construction.

Eveline M. Helsper, Linda C. van der Gaag, A. J. Feelders, Willie Loeffen, Petra L. Geenen, Armin Elbers

Proceedings of the 3rd International Conference on Knowledge Capture (K-CAP 2005), 2005

Haskell ready to dazzle the real world.

Martijn M. Schrage, Arjan van IJzendoorn, Linda C. van der Gaag

Proceedings of the ACM SIGPLAN Workshop on Haskell, 2005

Speeding Up Inference in Markovian Models.

Theodore Charitos, Peter R. de Waal, Linda C. van der Gaag

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004

Bayesian networks in biomedicine and health-care.

Peter J. F. Lucas, Linda C. van der Gaag, Ameen Abu-Hanna

Artif. Intell. Medicine, 2004

Stable Independance and Complexity of Representation.

Peter R. de Waal, Linda C. van der Gaag

Proceedings of the UAI '04, 2004

Evidence-invariant Sensitivity Bounds.

Silja Renooij, Linda C. van der Gaag

Proceedings of the UAI '04, 2004

Monotonicity in Bayesian Networks.

Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders

Proceedings of the UAI '04, 2004

On the Robustness of Feature Selection with Absent and Non-observed Features.

Petra L. Geenen, Linda C. van der Gaag, Willie Loeffen, Armin Elbers

Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004

Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer.

Rosa Blanco, Linda C. van der Gaag, Iñaki Inza, Pedro Larrañaga

Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004

Designing a Procedure for the Acquisition of Probability Constraints for Bayesian Networks.

Eveline M. Helsper, Linda C. van der Gaag, Floris Groenendaal

Proceedings of the Engineering Knowledge in the Age of the Semantic Web, 2004

Defining Classes of Influences for the Acquisition of Probability Constraints for Bayesian Networks.

Linda C. van der Gaag, Eveline M. Helsper

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers.

Madalina M. Drugan, Linda C. van der Gaag

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003

Upgrading Ambiguous Signs in QPNs.

Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag

Proceedings of the UAI '03, 2003

A Skeleton-Based Approach to Learning Bayesian Networks from Data.

Steven van Dijk, Linda C. van der Gaag, Dirk Thierens

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

On the Use of Vignettes for Eliciting Test-Selection Strategies.

Danielle Sent, Linda C. van der Gaag, Cilia Witteman, Berthe M. P. Aleman, Babs G. Taal

Proceedings of the New Navigators: from Professionals to Patients, 2003

Building a GA from Design Principles for Learning Bayesian Networks.

Steven van Dijk, Dirk Thierens, Linda C. van der Gaag

Proceedings of the Genetic and Evolutionary Computation, 2003

Introducing Situational Influences in QPNs.

Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Detailing Test Characteristics for Probabilistic Networks.

Danielle Sent, Linda C. van der Gaag

Proceedings of the Artificial Intelligence in Medicine, 2003

Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer.

Wouter P. van Rijsinge, Linda C. van der Gaag, Frank L. J. Visseren, Yolanda van der Graaf

Proceedings of the Artificial Intelligence in Medicine, 2003

Probabilistic Networks as Probabilistic Forecasters.

Linda C. van der Gaag, Silja Renooij

Proceedings of the Artificial Intelligence in Medicine, 2003

2002

Probabilities for a probabilistic network: a case study in oesophageal cancer.

Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, Berthe M. P. Aleman, Babs G. Taal

Artif. Intell. Medicine, 2002

Properties of Sensitivity Analysis of Bayesian Belief Networks.

Veerle M. H. Coupé, Linda C. van der Gaag

Ann. Math. Artif. Intell., 2002

Context-specific sign-propagation in qualitative probabilistic networks.

Silja Renooij, Linda C. van der Gaag, Simon Parsons

Artif. Intell., 2002

From Qualitative to Quantitative Probabilistic Networks.

Silja Renooij, Linda C. van der Gaag

Proceedings of the UAI '02, 2002

Experiences with Modelling Issues in Building Probabilistic Networks.

Linda C. van der Gaag, Eveline M. Helsper

Proceedings of the Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web, 2002

Propagation of Multiple Observations in QPNs Revisited.

Silja Renooij, Linda C. van der Gaag, Simon Parsons

Proceedings of the 15th European Conference on Artificial Intelligence, 2002

Building Bayesian Networks through Ontologies.

Eveline M. Helsper, Linda C. van der Gaag

Proceedings of the 15th European Conference on Artificial Intelligence, 2002

On the Complexity of the MPA Problem in Probabilistic Networks.

Hans L. Bodlaender, Frank van den Eijkhof, Linda C. van der Gaag

Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001

Analysing Sensitivity Data from Probabilistic Networks.

Linda C. van der Gaag, Silja Renooij

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Pre-processing for Triangulation of Probabilistic Networks.

Hans L. Bodlaender, Arie M. C. A. Koster, Frank van den Eijkhof, Linda C. van der Gaag

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

The Effects of Disregarding Test Characteristics in Probabilistic Networks.

Linda C. van der Gaag, C. L. M. Witteman, Silja Renooij, Michael Egmont-Petersen

Proceedings of the Artificial Intelligence Medicine, 2001

On the Evaluation of Probabilistic Networks.

Linda C. van der Gaag, Silja Renooij

Proceedings of the Artificial Intelligence Medicine, 2001

2000

Building Probabilistic Networks: "Where Do the Numbers Come From?" Guest Editors Introduction.

Marek J. Druzdzel, Linda C. van der Gaag

IEEE Trans. Knowl. Data Eng., 2000

Pivotal Pruning of Trade-offs in QPNs.

Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Making Sensitivity Analysis Computationally Efficient.

Uffe Kjærulff, Linda C. van der Gaag

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Zooming in on Trade-Offs in Qualitative Probabilistic Networks.

Silja Renooij, Linda C. van der Gaag, Shaw Green, Simon Parsons

Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000

1999

Enhancing QPNs for Trade-off Resolution.

Silja Renooij, Linda C. van der Gaag

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

How to Elicit Many Probabilities.

Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, Berthe M. P. Aleman, Babs G. Taal

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Sensitive Analysis for Threshold Decision Making with Bayesian Belief Networks.

Linda C. van der Gaag, Veerle M. H. Coupé

Proceedings of the AI*IA 99:Advances in Artificial Intelligence, 1999

1998

Informational independence: Models and normal forms.

Linda C. van der Gaag, John-Jules Ch. Meyer

Int. J. Intell. Syst., 1998

Decision Making in Qualitative Influence Diagrams.

Silja Renooij, Linda C. van der Gaag

Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

1997

Supporting Probability Elicitation by Sensitivity Analysis.

Veerle M. H. Coupé, Linda C. van der Gaag

Proceedings of the Knowledge Acquisition, Modeling and Management, 10th European Workshop, 1997

1996

On evidence absorption for belief networks.

Linda C. van der Gaag

Int. J. Approx. Reason., 1996

Bayesian Belief Networks: Odds and Ends.

Linda C. van der Gaag

Comput. J., 1996

1995

Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information.

Marek J. Druzdzel, Linda C. van der Gaag

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

A Case-based Filter for Diagnostic Belief Networks.

Niels Peek, Linda C. van der Gaag

Proceedings of the Fifth Scandinavian Conference on Artificial Intelligence, 1995

1993

The LazyRMS: Avoiding Work in the ATMS.

Gerry Kelleher, Linda C. van der Gaag

Comput. Intell., 1993

Efficient Context-Sensitive Plausible Inference for Information Disclosure.

Peter Bruza, Linda C. van der Gaag

Proceedings of the 16th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Pittsburgh, PA, USA, June 27, 1993

1991

Principles of expert systems.

Peter J. F. Lucas, Linda C. van der Gaag

International computer science series, Addison-Wesley, ISBN: 978-0-201-41640-4, 1991

1990

Different Notions of Uncertainty in Quasi-Probabilistic Models.

Linda C. van der Gaag

Int. J. Man Mach. Stud., 1990

Computing probability intervals under independency constraints.

Linda C. van der Gaag

Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

1989

A conceptual model for inexact reasoning in rule-based systems.

Linda C. van der Gaag

Int. J. Approx. Reason., 1989