Local computations with probabilities on graphical structures and their application to expert systems

[1]  L. N. Kanal,et al.  Uncertainty in Artificial Intelligence 5 , 1990 .

[2]  Jim Q. Smith Influence diagrams for Bayesian decision analysis , 1989 .

[3]  J. Q. Smith Influence Diagrams for Statistical Modelling , 1989 .

[4]  N. Wermuth,et al.  Graphical Models for Associations between Variables, some of which are Qualitative and some Quantitative , 1989 .

[5]  Augustine Kong,et al.  Uncertain evidence and artificial analysis , 1990 .

[6]  W. Kendall Symbolic computation and the diffusion of shapes of triads , 1988, Advances in Applied Probability.

[7]  Kanti V. Mardia,et al.  Spatial Classification Using Fuzzy Membership Models , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Ross D. Shachter Probabilistic Inference and Influence Diagrams , 1988, Oper. Res..

[9]  O. M. Rijal,et al.  Interval estimation based on the profile likelihood: Strong Lagrangian theory with applications to discrimination , 1988 .

[10]  O. Barndorff-Nielsen,et al.  Combination of Reproductive Models , 1988 .

[11]  D. Freedman,et al.  From Mouse-to-Man: The Quantitative Assessment of Cancer Risks , 1988 .

[12]  I. Good Causal Tendency: A Review , 1988 .

[13]  R. Jirousek,et al.  A Partial Solution of the Marginal Problem , 1988 .

[14]  Smets Ph.,et al.  Belief functions, Non-standard logics for automated reasoning , 1988 .

[15]  J. Q. Smith Decision Analysis: A Bayesian Approach , 1988 .

[16]  Khaled Mellouli,et al.  Propagating belief functions in qualitative Markov trees , 1987, Int. J. Approx. Reason..

[17]  Judea Pearl,et al.  Distributed Revision of Composite Beliefs , 1987, Artif. Intell..

[18]  Steen Andreassen,et al.  MUNIN - A Causal Probabilistic Network for Interpretation of Electromyographic Findings , 1987, IJCAI.

[19]  Judea Pearl,et al.  The Logic of Representing Dependencies by Directed Graphs , 1987, AAAI.

[20]  David J. Hand,et al.  A Statistical Knowledge Enhancement System , 1987 .

[21]  David J. Spiegelhalter,et al.  Coherent evidence propagation in expert systems , 1987 .

[22]  Francesco M. Malvestuto Answering queries in categorical databases , 1987, PODS '87.

[23]  Judea Pearl,et al.  Evidential Reasoning Using Stochastic Simulation of Causal Models , 1987, Artif. Intell..

[24]  Derek G. Corneil,et al.  Complexity of finding embeddings in a k -tree , 1987 .

[25]  G Paass,et al.  Consistent evaluation of uncertain reasoning systems , 1987 .

[26]  D. Edwards,et al.  A fast model selection procedure for large families of models , 1987 .

[27]  David Lindley,et al.  The Probability Approach to the Treatment of Uncertainty in Artificial Intelligence and Expert Systems , 1987 .

[28]  Glenn Shafer,et al.  Probability Judgment in Artificial Intelligence and Expert Systems , 1987 .

[29]  Kristian G. Olesen,et al.  The HUGIN core: preliminary considerations on systems for fast manipulation of probabilities , 1987 .

[30]  Max Henrion,et al.  Uncertainty in artificial intelligence: Is probability epistemologically and heuristically accurate? , 1987 .

[31]  David A. Schum,et al.  Evidence and inference for the intelligence analyst , 1987 .

[32]  Steen Andreassen,et al.  MUNIN — On the Case for Probabilities in Medical Expert Systems — a Practical Exercise , 1987 .

[33]  Judea Pearl,et al.  On Evidential Reasoning in a Hierarchy of Hypotheses , 1990, Artif. Intell..

[34]  Ross D. Shachter Evaluating Influence Diagrams , 1986, Oper. Res..

[35]  David J. Spiegelhalter Computers, Expert Systems, and ADRs: Can Causality Assessment Be Automated? , 1986 .

[36]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[37]  Judea Pearl,et al.  Fusion, Propagation, and Structuring in Belief Networks , 1986, Artif. Intell..

[38]  W. Edwards,et al.  Decision Analysis and Behavioral Research , 1986 .

[39]  S. K. Andersen,et al.  Knowledge Representations for Diagnosis and Test Planning in the Domain of Electromyography , 1986, ECAI.

[40]  E. Thompson Genetic epidemiology: a review of the statistical basis. , 1986, Statistics in medicine.

[41]  D. Spiegelhalter A statistical view of uncertainty in expert systems , 1986 .

[42]  A. Thomas Approximate computation of probability functions for pedigree analysis. , 1986, IMA journal of mathematics applied in medicine and biology.

[43]  Robert M. Fung,et al.  Metaprobability and Dempster-Shafer in Evidential Reasoning , 2013, UAI.

[44]  David Heckerman,et al.  Probabilistic Interpretation for MYCIN's Certainty Factors , 1990, UAI.

[45]  Donald Michie,et al.  CURRENT DEVELOPMENTS IN ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS , 1985 .

[46]  A. Dawid Calibration-Based Empirical Probability , 1985 .

[47]  Peter C. Cheeseman,et al.  In Defense of Probability , 1985, IJCAI.

[48]  D. Edwards,et al.  A fast procedure for model search in multidimensional contingency tables , 1985 .

[49]  Ross D. Shachter Intelligent Probabilistic Inference , 1985, UAI.

[50]  Petr Hájek,et al.  Combining Functions for Certainty Degrees in Consulting Systems , 1985, Int. J. Man Mach. Stud..

[51]  F. Critchley,et al.  Interval estimation in discrimination: The multivariate normal equal covariance case , 1985 .

[52]  M. M. Meyer,et al.  Statistical Analysis of Multiple Sociometric Relations. , 1985 .

[53]  John Fox,et al.  Three Arguments for Extending the Framework of Probability , 1985, UAI.

[54]  Lotfi A. Zadeh,et al.  Is Probability Theory Sufficient for Dealing with Uncertainty in AI: A Negative View , 1985, UAI.

[55]  David J. Spiegelhalter,et al.  Probabilistic Reasoning in Predictive Expert Systems , 1985, UAI.

[56]  Bruce G. Buchanan,et al.  The MYCIN Experiments of the Stanford Heuristic Programming Project , 1985 .

[57]  Peter Cheeseman,et al.  Learning of expert systems from data , 1984 .

[58]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[59]  Robert E. Tarjan,et al.  Simple Linear-Time Algorithms to Test Chordality of Graphs, Test Acyclicity of Hypergraphs, and Selectively Reduce Acyclic Hypergraphs , 1984, SIAM J. Comput..

[60]  J. Whittaker Model Interpretation from the Additive Elements of the Likelihood Function , 1984 .

[61]  T. Speed,et al.  Recursive causal models , 1984, Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics.

[62]  T. Speed,et al.  Decomposable graphs and hypergraphs , 1984, Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics.

[63]  D. J. Spiegelhalter,et al.  Statistical and Knowledge‐Based Approaches to Clinical Decision‐Support Systems, with an Application in Gastroenterology , 1984 .

[64]  Paul R. Cohen,et al.  Heuristic reasoning about uncertainty: an artificial intelligence approach , 1984 .

[65]  James L. Alty,et al.  Expert Systems: An Alternative Paradigm , 1984, Int. J. Man Mach. Stud..

[66]  J. Ross Quinlan,et al.  Inferno: A Cautious Approach To Uncertain Inference , 1986, Comput. J..

[67]  I. Good Good Thinking: The Foundations of Probability and Its Applications , 1983 .

[68]  N. Wermuth,et al.  Graphical and recursive models for contingency tables , 1983 .

[69]  D. Edwards,et al.  Collapsibility and response variables in contingency tables , 1983 .

[70]  Judea Pearl,et al.  A Computational Model for Causal and Diagnostic Reasoning in Inference Systems , 1983, IJCAI.

[71]  Benjamin Kuipers,et al.  How to Discover a Knowledge Representation for Causal Reasoning by Studying an Expert Physician , 1983, IJCAI.

[72]  Catriel Beeri,et al.  On the Desirability of Acyclic Database Schemes , 1983, JACM.

[73]  Ryszard S. Michalski,et al.  Automated Construction of Classifications: Conceptual Clustering Versus Numerical Taxonomy , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[74]  L. Zadeh The role of fuzzy logic in the management of uncertainty in expert systems , 1983 .

[75]  John Aitchison,et al.  The Statistical Analysis of Compositional Data , 1986 .

[76]  H. E. Pople,et al.  Internist-I, an Experimental Computer-Based Diagnostic Consultant for General Internal Medicine , 1982 .

[77]  Judea Pearl,et al.  Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach , 1982, AAAI.

[78]  Peter Szolovits,et al.  Artificial Intelligence in Medicine , 1982 .

[79]  D. Spiegelhalter,et al.  Bayes Factors for Linear and Log‐Linear Models with Vague Prior Information , 1982 .

[80]  David Lindley Scoring rules and the inevitability of probability , 1982 .

[81]  D. Schum,et al.  Formal and empirical research on cascaded inference in jurisprudence. , 1982 .

[82]  John McCarthy,et al.  SOME PHILOSOPHICAL PROBLEMS FROM THE STANDPOINT OF ARTI CIAL INTELLIGENCE , 1987 .

[83]  I. Good C96. The weight of evidence provided by uncertain testimony or from an uncertain event , 1981 .

[84]  D. A. Kenny,et al.  Correlation and Causation , 1937, Wilmott.

[85]  Catriel Beeri,et al.  Properties of acyclic database schemes , 1981, STOC '81.

[86]  D. Titterington,et al.  Comparison of Discrimination Techniques Applied to a Complex Data Set of Head Injured Patients , 1981 .

[87]  P. Holland,et al.  An Exponential Family of Probability Distributions for Directed Graphs , 1981 .

[88]  M. Yannakakis Computing the Minimum Fill-in is NP^Complete , 1981 .

[89]  Raymond Reiter,et al.  A Logic for Default Reasoning , 1987, Artif. Intell..

[90]  T. Speed,et al.  Markov Fields and Log-Linear Interaction Models for Contingency Tables , 1980 .

[91]  M. Golumbic Algorithmic graph theory and perfect graphs , 1980 .

[92]  Jon Doyle,et al.  A Truth Maintenance System , 1979, Artif. Intell..

[93]  A. Dawid Conditional Independence in Statistical Theory , 1979 .

[94]  A. Zellner Causality and econometrics , 1979 .

[95]  Peter Szolovits,et al.  Categorical and Probabilistic Reasoning in Medical Diagnosis , 1990, Artif. Intell..

[96]  J. Habbema,et al.  The measurement of performance in probabilistic diagnosis. III. Methods based on continuous functions of the diagnostic probabilities. , 1978, Methods of information in medicine.

[97]  Casimir A. Kulikowski,et al.  A Model-Based Method for Computer-Aided Medical Decision-Making , 1978, Artif. Intell..

[98]  C. Cannings,et al.  Probability functions on complex pedigrees , 1978, Advances in Applied Probability.

[99]  S. K. Lee,et al.  On the Asymptotic Variances of û Terms in Loglinear Models of Multidimensional Contingency Tables , 1977 .

[100]  N. Wermuth Model Search among Multiplicative Models , 1976 .

[101]  Robert E. Tarjan,et al.  Algorithmic Aspects of Vertex Elimination on Graphs , 1976, SIAM J. Comput..

[102]  N. Wermuth Analogies between Multiplicative Models in Contingency Tables and Covariance Selection , 1976 .

[103]  RICHARD 0. DUDA,et al.  Subjective bayesian methods for rule-based inference systems , 1899, AFIPS '76.

[104]  S. Haberman,et al.  The analysis of frequency data , 1974 .

[105]  John P. Moussouris Gibbs and Markov random systems with constraints , 1974 .

[106]  C. W. Kelly,et al.  A general Bayesian model for hierarchical inference , 1973 .

[107]  Fanica Gavril,et al.  Algorithms for Minimum Coloring, Maximum Clique, Minimum Covering by Cliques, and Maximum Independent Set of a Chordal Graph , 1972, SIAM J. Comput..

[108]  A. Goldberger,et al.  Causal Models in the Social Sciences. , 1972 .

[109]  S. Zedeck Problems with the use of "moderator" variables. , 1971 .

[110]  Y. Bishop Effects of collapsing multidimensional contingency tables. , 1971, Biometrics.

[111]  J. Hilden G E N EX ‐ An algebraic approach to pedigree probability calculus , 1970 .

[112]  M. Degroot Optimal Statistical Decisions , 1970 .

[113]  L. A. Goodman The Multivariate Analysis of Qualitative Data: Interactions among Multiple Classifications , 1970 .

[114]  R. L. Winkler Scoring Rules and the Evaluation of Probability Assessors , 1969 .

[115]  J. Lingoes The Multivariate Analysis Of Qualitative Data , 1968 .

[116]  R. D. Bock,et al.  Analysis of covariance structures , 1966, Psychometrika.

[117]  D. Brook On the distinction between the conditional probability and the joint probability approaches in the specification of nearest-neighbour systems , 1964 .

[118]  H. Kellerer Verteilungsfunktionen mit gegebenen Marginalverteilungen , 1964 .

[119]  N. N. Vorob’ev Markov Measures and Markov Extensions , 1963 .

[120]  N. N. Vorob’ev Consistent Families of Measures and Their Extensions , 1962 .

[121]  G. Dirac On rigid circuit graphs , 1961 .

[122]  I. J. Good,et al.  Effective Sampling Rates for Signal Detection; or Can the Gaussian Model be Salvaged? , 1960, Inf. Control..

[123]  A. Wold,et al.  A GENERALIZATION OF CAUSAL CHAIN MODELS (PART III OF A TRIPTYCH ON CAUSAL CHAIN SYSTEMS) , 1960 .

[124]  K. Wagner Über eine Eigenschaft der ebenen Komplexe , 1937 .

[125]  S. Wright The Method of Path Coefficients , 1934 .

[126]  H. Jeffreys The Theory of Probability , 1896 .