Judea Pearl

According to our database1, Judea Pearl authored at least 213 papers between 1971 and 2019.

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

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

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 Twenty-Eighth 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 Well-being: Understanding Cognitive Bias and Social Embeddedness co-located with Association for the Advancement of Artificial Intelligence 2019 Spring Symposium (AAAI-Spring 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 Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Counterfactual Data-Fusion 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 data-fusion problem.
Proc. Natl. Acad. Sci. U.S.A., 2016

Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
External Validity: From Do-Calculus 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 Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data.
Proceedings of the Thirty-First 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 Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Recovering from Selection Bias in Causal and Statistical Inference.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Graphical Models for Probabilistic and Causal Reasoning.
Proceedings of the Computing Handbook, 2014

2013
Learning Link-Probabilities in Causal Trees
CoRR, 2013

Distributed Revision of Belief Commitment in Multi-Hypothesis 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 5-8, 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 5-8, 2013

A simple criterion for controlling selection bias.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Meta-Transportability 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 Twenty-Seventh 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 Do-Calculus Revisited.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Causal Inference by Surrogate Experiments: z-Identifiability.
Proceedings of the Twenty-Eighth 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 Twenty-Sixth 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 Bias-Amplifying 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 Twenty-Third 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 Semi-Markovian Causal Models.
Proceedings of the Proceedings, 2006

Identification of Joint Interventional Distributions in Recursive Semi-Markovian 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 Path-Specific Effects.
Proceedings of the IJCAI-05, 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 Order-Of-Magnitude 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 Pseudo-Paradoxes 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 Structural-Model Approach: Part 1: Causes.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Causes and Explanations: A Structural-Model Approach - Part II: Explanations.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000
Causes and Explanations: A Structural-Model 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

Logarithmic-Time 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 Non-Compliance.
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 NP-complete.
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

Rank-based 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

System-Z+: A Formalism for Reasoning with Variable-Strength 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

d-Separation: 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 poly-trees from statistical data.
Int. J. Approx. Reason., 1988

Do we need higher-order 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

Tree-Clustering Schemes for Constraint-Processing.
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

Network-Based Heuristics for Constraint-Satisfaction 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 Constraint-Propagation 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 Knowledge-Based Systems, 1986

Graphoids: Graph-Based 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

Comprehension-Driven Generation of Meta-Technical 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 Best-First Search Strategies and the Optimality of A*
J. ACM, July, 1985

A Constraint-Propagation 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 Constraint-Satisfaction 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.
Addison-Wesley series in artificial intelligence, Addison-Wesley, ISBN: 978-0-201-05594-8, 1984

1983
On the Discovery and Generation of Certain Heuristics.
AI Magazine, 1983

A Minimax Algorithm Better Than Alpha-Beta? 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 Goal-Directed Decision Structuring System.
IEEE Trans. Pattern Anal. Mach. Intell., 1982

Studies in Semi-Admissible Heuristics.
IEEE Trans. Pattern Anal. Mach. Intell., 1982

The Solution for the Branching Factor of the Alpha-Beta 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 Space-Efficient On-Line 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 Alpha-Beta Pruning Algorithm.
Proceedings of the Automata, 1981

1980
Storage space versus validity of answers in probabilistic question-answering systems.
IEEE Trans. Information Theory, 1980

Asymptotic Properties of Minimax Trees and Game-Searching Procedures.
Artif. Intell., 1980

Probabilistic Analysis of the Complexity of A*.
Artif. Intell., 1980

Asymptotic Complexity of Game-Searching Procedures.
Proceedings of the Mathematical Foundations of Computer Science 1980 (MFCS'80), 1980

SCOUT: A Simple Game-Searching 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 question-Answering systems.
IEEE Trans. Information Theory, 1979

Bounds on memory versus error trade-offs in question-answering systems.
IEEE Trans. Information Theory, 1979

Asymptotic rate-distortion 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 pair-ordering 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 rate-distortion theory to pattern recognition and classification.
Pattern Recognit., 1976

1975
On the Storage Economy of Inferential Question-Answering Systems.
IEEE Trans. Systems, Man, and Cybernetics, 1975

On the residual correlation of finite-dimensional discrete Fourier transforms of stationary signals (Corresp.).
IEEE Trans. Information Theory, 1975

Optimal Dyadic Models of Time-Invariant Systems.
IEEE Trans. Computers, 1975

On the Complexity of Inexact Computations.
Inf. Process. Lett., 1975

On The Storage Economy Of Error-Tolerating Question-Answering 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

Basis-restricted transformations and performance measures for spectral representations (Corresp.).
IEEE Trans. Information Theory, 1971


  Loading...