Judea Pearl
According to our database^{1},
Judea Pearl
authored at least 213 papers
between 1971 and 2019.
Collaborative distances:
Collaborative distances:
Awards
Turing Prize recipient
Turing Prize 2011, "For fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning.".
ACM Fellow
ACM Fellow 2015, "For contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning.".
IEEE Fellow
IEEE Fellow 1989, "For contributions to the theory of heuristics and inference under uncertainty.".
Timeline
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at zbmath.org

at www.fi.edu

at viaf.org

at id.loc.gov

at dnb.info

at isni.org

at dl.acm.org
On csauthors.net:
Bibliography
2019
The seven tools of causal inference, with reflections on machine learning.
Commun. ACM, 2019
Unit Selection Based on Counterfactual Logic.
Proceedings of the TwentyEighth International Joint Conference on Artificial Intelligence, 2019
Sensitivity Analysis of Linear Structural Causal Models.
Proceedings of the 36th International Conference on Machine Learning, 2019
What is Causal Inference?
Proceedings of the Symposium Interpretable AI for Wellbeing: Understanding Cognitive Bias and Social Embeddedness colocated with Association for the Advancement of Artificial Intelligence 2019 Spring Symposium (AAAISpring Symposium 2019), 2019
2018
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Consistent Estimation given Missing Data.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
Estimation with Incomplete Data: The Linear Case.
Proceedings of the TwentySeventh International Joint Conference on Artificial Intelligence, 2018
2017
Counterfactual DataFusion for Online Reinforcement Learners.
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Preface to the ACM TIST Special Issue on Causal Discovery and Inference.
ACM TIST, 2016
Causal inference and the datafusion problem.
Proc. Natl. Acad. Sci. U.S.A., 2016
Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables.
Proceedings of the TwentyFifth International Joint Conference on Artificial Intelligence, 2016
2015
External Validity: From DoCalculus to Transportability Across Populations.
CoRR, 2015
Identification by Auxiliary Instrumental Sets in Linear Structural Equation Models.
CoRR, 2015
Missing Data as a Causal and Probabilistic Problem.
Proceedings of the ThirtyFirst Conference on Uncertainty in Artificial Intelligence, 2015
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data.
Proceedings of the ThirtyFirst Conference on Uncertainty in Artificial Intelligence, 2015
Bandits with Unobserved Confounders: A Causal Approach.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Missing Data from a Causal Perspective.
Proceedings of the Advanced Methodologies for Bayesian Networks, 2015
2014
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data.
CoRR, 2014
Generalizing causal knowledge: theory and algorithms.
AI Matters, 2014
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Transportability from Multiple Environments with Limited Experiments: Completeness Results.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
On the Testability of Models with Missing Data.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Random Bayesian networks with bounded indegree.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Testable Implications of Linear Structural Equation Models.
Proceedings of the TwentyEighth AAAI Conference on Artificial Intelligence, 2014
Recovering from Selection Bias in Causal and Statistical Inference.
Proceedings of the TwentyEighth AAAI Conference on Artificial Intelligence, 2014
Graphical Models for Probabilistic and Causal Reasoning.
Proceedings of the Computing Handbook, 2014
2013
Learning LinkProbabilities in Causal Trees
CoRR, 2013
Distributed Revision of Belief Commitment in MultiHypothesis Interpretations
CoRR, 2013
On the Equivalence of Causal Models
CoRR, 2013
A General Algorithm for Deciding Transportability of Experimental Results.
CoRR, 2013
Structural Counterfactuals: A Brief Introduction.
Cognitive Science, 2013
Graphical Models for Inference with Missing Data.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
Transportability from Multiple Environments with Limited Experiments.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
A simple criterion for controlling selection bias.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
MetaTransportability of Causal Effects: A Formal Approach.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
Causal Transportability with Limited Experiments.
Proceedings of the TwentySeventh AAAI Conference on Artificial Intelligence, 2013
2012
Controlling Selection Bias in Causal Inference.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
The DoCalculus Revisited.
Proceedings of the TwentyEighth Conference on Uncertainty in Artificial Intelligence, 2012
Causal Inference by Surrogate Experiments: zIdentifiability.
Proceedings of the TwentyEighth Conference on Uncertainty in Artificial Intelligence, 2012
Human and Machine Intelligence.
Proceedings of the ACM Turing Centenary Celebration, 2012
Transportability of Causal Effects: Completeness Results.
Proceedings of the TwentySixth AAAI Conference on Artificial Intelligence, 2012
2011
Causal Diagrams.
Proceedings of the International Encyclopedia of Statistical Science, 2011
Graphical models, potential outcomes and causal inference: Comment on Linquist and Sobel.
NeuroImage, 2011
The algorithmization of counterfactuals.
Ann. Math. Artif. Intell., 2011
The mathematics of causal inference.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Transportability of Causal and Statistical Relations: A Formal Approach.
Proceedings of the Data Mining Workshops (ICDMW), 2011
Local Characterizations of Causal Bayesian Networks.
Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2011
On Counterfactuals and Cognitive Science: Rumlhart Prize Symposium in Honor of Judea Pearl.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011
2010
Causal Inference.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010
Belief propagation: technical perspective.
Commun. ACM, 2010
Confounding Equivalence in Causal Inference.
Proceedings of the UAI 2010, 2010
On Measurement Bias in Causal Inference.
Proceedings of the UAI 2010, 2010
On a Class of BiasAmplifying Variables that Endanger Effect Estimates.
Proceedings of the UAI 2010, 2010
2009
Effects of Treatment on the Treated: Identification and Generalization.
Proceedings of the UAI 2009, 2009
2008
Complete Identification Methods for the Causal Hierarchy.
J. Mach. Learn. Res., 2008
Dormant Independence.
Proceedings of the TwentyThird AAAI Conference on Artificial Intelligence, 2008
2007
Causality and Counterfactuals in the Situation Calculus.
J. Log. Comput., 2007
What Counterfactuals Can Be Tested.
Proceedings of the UAI 2007, 2007
2006
Identification of Conditional Interventional Distributions.
Proceedings of the UAI '06, 2006
Graphical Condition for Identification in recursive SEM.
Proceedings of the UAI '06, 2006
A Characterization of Interventional Distributions in SemiMarkovian Causal Models.
Proceedings of the Proceedings, 2006
Identification of Joint Interventional Distributions in Recursive SemiMarkovian Causal Models.
Proceedings of the Proceedings, 2006
2005
Influence Diagrams  Historical and Personal Perspectives.
Decision Analysis, 2005
Response to review by Kyburg.
Artif. Intell., 2005
Identifiability of PathSpecific Effects.
Proceedings of the IJCAI05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
2004
Robustness of Causal Claims.
Proceedings of the UAI '04, 2004
2002
Reasoning with Cause and Effect.
AI Magazine, 2002
On the Testable Implications of Causal Models with Hidden Variables.
Proceedings of the UAI '02, 2002
Generalized Instrumental Variables.
Proceedings of the UAI '02, 2002
Qualitative MDPs and POMDPs: An OrderOfMagnitude Approximation.
Proceedings of the UAI '02, 2002
A New Characterization of the Experimental Implications of Causal Bayesian Networks.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002
A General Identification Condition for Causal Effects.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002
A Graphical Criterion for the Identification of Causal Effects in Linear Models.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002
2001
On Two PseudoParadoxes in Bayesian Analysis.
Ann. Math. Artif. Intell., 2001
Causal Discovery from Changes.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001
Direct and Indirect Effects.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001
Causes and Explanations: A StructuralModel Approach: Part 1: Causes.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001
Causes and Explanations: A StructuralModel Approach  Part II: Explanations.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001
2000
Causes and Explanations: A StructuralModel Approach, Part I: Causes
CoRR, 2000
Probabilities of causation: Bounds and identification.
Ann. Math. Artif. Intell., 2000
1999
Probabilities Of Causation: Three Counterfactual Interpretations And Their Identification.
Synthese, 1999
Testing regression models with fewer regressors.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999
1997
The Relevance of Relevance (Editorial).
Artif. Intell., 1997
Axioms of Causal Relevance.
Artif. Intell., 1997
On the Logic of Iterated Belief Revision.
Artif. Intell., 1997
Graphical Models for Probabilistic and Causal Reasoning.
Proceedings of the Computer Science and Engineering Handbook, 1997
1996
A new characterization of graphs based on interception relations.
Journal of Graph Theory, 1996
LogarithmicTime Updates and Queries in Probabilistic Networks.
J. Artif. Intell. Res., 1996
Decision Making Under Uncertainty.
ACM Comput. Surv., 1996
Qualitative Probabilities for Default Reasoning, Belief Revision, and Causal Modeling.
Artif. Intell., 1996
Uncovering Trees in Constraint Networks.
Artif. Intell., 1996
Identifying Independencies in Causal Graphs with Feedback.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996
Causation, Action and Counterfactuals.
Proceedings of the Sixth Conference on Theoretical Aspects of Rationality and Knowledge, 1996
A Clinician's Tool for Analyzing NonCompliance.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
1995
Causal inference from indirect experiments.
Artif. Intell. Medicine, 1995
Probabilistic evaluation of sequential plans from causal models with hidden variables.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995
On the Testability of Causal Models With Latent and Instrumental Variables.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995
Testing Identifiability of Causal Effects.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995
Counterfactuals and Policy Analysis in Structural Models.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995
Specificity and Inheritance in Default Reasoning.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995
A Causal Calculus for Statistical Research.
Proceedings of the Learning from Data, 1995
1994
A Probabilistic Calculus of Actions.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994
On Testing Whether an Embedded Bayesian Network Represents a Probability Model.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994
Counterfactual Probabilities: Computational Methods, Bounds and Applications.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994
Specification and Evaluation of Preferences Under Uncertainty.
Proceedings of the 4th International Conference on Principles of Knowledge Representation and Reasoning (KR'94). Bonn, 1994
Qualitative Decision Theory.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994
Symbolic Causal Networks.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994
Probabilistic Evaluation of Counterfactual Queries.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994
1993
A Maximum Entropy Approach to Nonmonotonic Reasoning.
IEEE Trans. Pattern Anal. Mach. Intell., 1993
Belief Networks Revisited.
Artif. Intell., 1993
Deciding Morality of Graphs is NPcomplete.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993
From Conditional Oughts to Qualitative Decision Theory.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993
1992
Rejoinder to comments on "reasoning with belief functions: An analysis of compatibility".
Int. J. Approx. Reason., 1992
On the Consistency of Defeasible Databases.
Artif. Intell., 1992
Conditional Entailment: Bridging two Approaches to Default Reasoning.
Artif. Intell., 1992
Structure Identification in Relational Data.
Artif. Intell., 1992
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992
Reasoning with Qualitative Probabilities Can Be Tractable.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992
Rankbased Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions.
Proceedings of the 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR'92). Cambridge, 1992
Empirical Semantics for Defeasible Databases.
Proceedings of the Logic Programming, 1992
1991
Axioms and Algorithms for Inferences Involving Probabilistic Independence
Inf. Comput., March, 1991
Temporal Constraint Networks.
Artif. Intell., 1991
A Theory of Inferred Causation.
Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (KR'91). Cambridge, 1991
Directed Constraint Networks: A Relational Framework for Causal Modeling.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991
SystemZ+: A Formalism for Reasoning with VariableStrength Defaults.
Proceedings of the 9th National Conference on Artificial Intelligence, 1991
1990
Identifying independence in bayesian networks.
Networks, 1990
Reasoning with belief functions: An analysis of compatibility.
Int. J. Approx. Reason., 1990
Logical and algorithmic properties of independence and their application to Bayesian networks.
Ann. Math. Artif. Intell., 1990
Equivalence and synthesis of causal models.
Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990
System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning.
Proceedings of the 3rd Conference on Theoretical Aspects of Reasoning about Knowledge, 1990
Tree Decomposition with Applications to Constraint Processing.
Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990
Learning Causal Trees from Dependence Information.
Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990
1989
Conditional independence and its representations.
Kybernetika, 1989
Tree Clustering for Constraint Networks.
Artif. Intell., 1989
Deciding Consistency of Databases Containing Defeasible and Strict Information.
Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989
dSeparation: From Theorems to Algorithms.
Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989
Probabilistic Semantics for Nonmonotonic Reasoning: A Survey.
Proceedings of the 1st International Conference on Principles of Knowledge Representation and Reasoning (KR'89). Toronto, 1989
Learning Structure from Data: A Survey.
Proceedings of the Second Annual Workshop on Computational Learning Theory, 1989
Probabilistic reasoning in intelligent systems  networks of plausible inference.
Morgan Kaufmann series in representation and reasoning, Morgan Kaufmann, 1989
1988
The recovery of causal polytrees from statistical data.
Int. J. Approx. Reason., 1988
Do we need higherorder probabilities, and, if so, what do they mean?
Int. J. Approx. Reason., 1988
On probability intervals.
Int. J. Approx. Reason., 1988
On logic and probability.
Computational Intelligence, 1988
Embracing Causality in Default Reasoning.
Artif. Intell., 1988
Causal networks: semantics and expressiveness.
Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988
On the logic of causal models.
Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988
TreeClustering Schemes for ConstraintProcessing.
Proceedings of the 7th National Conference on Artificial Intelligence, 1988
1987
Convince: A Conversational Inference Consolidation Engine.
IEEE Trans. Systems, Man, and Cybernetics, 1987
Distributed Revision of Composite Beliefs.
Artif. Intell., 1987
Evidential Reasoning Using Stochastic Simulation of Causal Models.
Artif. Intell., 1987
NetworkBased Heuristics for ConstraintSatisfaction Problems.
Artif. Intell., 1987
Structuring Causal Tree Models with Continuous Variables.
Proceedings of the UAI '87: Proceedings of the Third Annual Conference on Uncertainty in Artificial Intelligence, 1987
An Improved ConstraintPropagation Algorithm for Diagnosis.
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987
The Logic of Representing Dependencies by Directed Graphs.
Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987
Embracing Causality in Formal Reasoning.
Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987
1986
Structuring causal trees.
J. Complex., 1986
On Evidential Reasoning in a Hierarchy of Hypotheses.
Artif. Intell., 1986
Fusion, Propagation, and Structuring in Belief Networks.
Artif. Intell., 1986
Distributedrevision of belief commitment in composite explanations.
Proceedings of the UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, 1986
Probabilistic reasoning using graphs.
Proceedings of the Uncertainty in KnowledgeBased Systems, 1986
Graphoids: GraphBased Logic for Reasoning about Relevance Relations or When would x tell you more about y if you already know z?
Proceedings of the Advances in Artificial Intelligence II, 1986
ComprehensionDriven Generation of MetaTechnical Utterances in Math Tutoring.
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986
On the Logic of Probabilistic Dependencies.
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986
1985
Generalized BestFirst Search Strategies and the Optimality of A*
J. ACM, July, 1985
A ConstraintPropagation Approach to Probabilistic Reasoning.
Proceedings of the UAI '85: Proceedings of the First Annual Conference on Uncertainty in Artificial Intelligence, 1985
Learning Hidden Causes from Empirical Data.
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985
The Anatomy of Easy Problems: A ConstraintSatisfaction Formulation.
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985
How to Do with Probabilities What People Say You Can't.
Proceedings of the Artificial Intelligence Applications, 1985
1984
Some Recent Results in Heuristic Search Theory.
IEEE Trans. Pattern Anal. Mach. Intell., 1984
Heuristics  intelligent search strategies for computer problem solving.
AddisonWesley series in artificial intelligence, AddisonWesley, ISBN: 9780201055948, 1984
1983
On the Discovery and Generation of Certain Heuristics.
AI Magazine, 1983
A Minimax Algorithm Better Than AlphaBeta? Yes and No.
Artif. Intell., 1983
On the Nature of Pathology in Game Searching.
Artif. Intell., 1983
Knowledge Versus Search: A Quantitative Analysis Using A^{*}.
Artif. Intell., 1983
Searching for an Optimal Path in a Tree with Random Costs.
Artif. Intell., 1983
A Computational Model for Causal and Diagnostic Reasoning in Inference Systems.
Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983
The Optimality of A* Revisited.
Proceedings of the National Conference on Artificial Intelligence, 1983
1982
GODDESS: A GoalDirected Decision Structuring System.
IEEE Trans. Pattern Anal. Mach. Intell., 1982
Studies in SemiAdmissible Heuristics.
IEEE Trans. Pattern Anal. Mach. Intell., 1982
The Solution for the Branching Factor of the AlphaBeta Pruning Algorithm and its Optimality.
Commun. ACM, 1982
The Utility of Precision in Search Heuristics.
Proceedings of the 5th European Conference on Artificial Intelligence, 1982
Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach.
Proceedings of the National Conference on Artificial Intelligence, 1982
1981
A SpaceEfficient OnLine Method of Computing Quantile Estimates.
J. Algorithms, 1981
Heuristic Search Theory: Survey of Recent Results.
Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981
The Solution for the Branching Factor of the AlphaBeta Pruning Algorithm.
Proceedings of the Automata, 1981
1980
Storage space versus validity of answers in probabilistic questionanswering systems.
IEEE Trans. Information Theory, 1980
Asymptotic Properties of Minimax Trees and GameSearching Procedures.
Artif. Intell., 1980
Probabilistic Analysis of the Complexity of A^{*}.
Artif. Intell., 1980
Asymptotic Complexity of GameSearching Procedures.
Proceedings of the Mathematical Foundations of Computer Science 1980 (MFCS'80), 1980
SCOUT: A Simple GameSearching Algorithm with Proven Optimal Properties.
Proceedings of the 1st Annual National Conference on Artificial Intelligence, 1980
1979
Elasticity conditions for storage versus error exchange in questionAnswering systems.
IEEE Trans. Information Theory, 1979
Bounds on memory versus error tradeoffs in questionanswering systems.
IEEE Trans. Information Theory, 1979
Asymptotic ratedistortion functions for coding precedence relations (Corresp.).
IEEE Trans. Information Theory, 1979
Asymptotic Properties of Discrete Unitary Transforms.
IEEE Trans. Pattern Anal. Mach. Intell., 1979
Capacity and Error Estimates for Boolean Classifiers with Limited Complexity.
IEEE Trans. Pattern Anal. Mach. Intell., 1979
1977
A Framework for Processing Value Judgments.
IEEE Trans. Systems, Man, and Cybernetics, 1977
An Interactive Program Fo Conversational Elicitation of Decision Structures.
IEEE Trans. Systems, Man, and Cybernetics, 1977
On summarizing data using probabilistic assertions.
IEEE Trans. Information Theory, 1977
An Interactive Program for Conversational Elecitation of Decision Structures.
Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977
1976
Theoretical bounds on the complexity of inexact computations.
IEEE Trans. Information Theory, 1976
On coding precedence relations with a pairordering fidelity criterion (Corresp.).
IEEE Trans. Information Theory, 1976
Memory Versus Error Characteristics for Inexact Representations of Linear Orders.
IEEE Trans. Computers, 1976
An application of ratedistortion theory to pattern recognition and classification.
Pattern Recognit., 1976
1975
On the Storage Economy of Inferential QuestionAnswering Systems.
IEEE Trans. Systems, Man, and Cybernetics, 1975
On the residual correlation of finitedimensional discrete Fourier transforms of stationary signals (Corresp.).
IEEE Trans. Information Theory, 1975
Optimal Dyadic Models of TimeInvariant Systems.
IEEE Trans. Computers, 1975
On the Complexity of Inexact Computations.
Inf. Process. Lett., 1975
On The Storage Economy Of ErrorTolerating QuestionAnswering Systems.
Proceedings of the Advance Papers of the Fourth International Joint Conference on Artificial Intelligence, 1975
1973
On coding and filtering stationary signals by discrete Fourier transforms (Corresp.).
IEEE Trans. Information Theory, 1973
Time, frequency, sequency, and their uncertainty relations (Corresp.).
IEEE Trans. Information Theory, 1973
1972
Comments on "Application of Walsh Transform to Statistical Analysis".
IEEE Trans. Systems, Man, and Cybernetics, 1972
1971
Application of Walsh Transform to Statistical Analysis.
IEEE Trans. Systems, Man, and Cybernetics, 1971
Basisrestricted transformations and performance measures for spectral representations (Corresp.).
IEEE Trans. Information Theory, 1971