Approximate reasoning with credible subsets
暂无分享,去创建一个
[1] J. Justice. Maximum entropy and bayesian methods in applied statistics , 1986 .
[2] I. Good,et al. The Maximum Entropy Formalism. , 1979 .
[3] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[4] G. J. Janacek,et al. Maximum Entropy and Bayesian Spectral Analysis and Estimation Problems , 1987 .
[5] Kazuo Iwama,et al. CNF Satisfiability Test by Counting and Polynomial Average Time , 1989, SIAM J. Comput..
[6] Eliezer L. Lozinskii. Counting Propositional Models , 1992, Inf. Process. Lett..
[7] Raymond Reiter,et al. A Logic for Default Reasoning , 1987, Artif. Intell..
[8] ELIEZER L. LOZINSKII,et al. Is there an alternative to parsimonious semantics? , 1995, J. Exp. Theor. Artif. Intell..
[9] Michael R. Genesereth,et al. Logical foundations of artificial intelligence , 1987 .
[10] C. R. Smith,et al. Maximum-Entropy and Bayesian Methods in Inverse Problems , 1985 .
[11] R. Hartley. Transmission of information , 1928 .
[12] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[13] Nils J. Nilsson,et al. Probabilistic Logic * , 2022 .
[14] P. M. Williams. Bayesian Conditionalisation and the Principle of Minimum Information , 1980, The British Journal for the Philosophy of Science.
[15] Leslie G. Valiant,et al. The Complexity of Computing the Permanent , 1979, Theor. Comput. Sci..
[16] Paul Walton Purdom,et al. Average Time Analyses of Simplified Davis-Putnam Procedures , 1982, Inf. Process. Lett..
[17] I. Good,et al. The Maximum Entropy Formalism. , 1979 .
[18] Judea Pearl,et al. Probabilistic Semantics for Nonmonotonic Reasoning: A Survey , 1989, KR.
[19] Paul Walton Purdom,et al. The Pure Literal Rule and Polynomial Average Time , 1985, SIAM J. Comput..
[20] Daniel Kahneman,et al. Probabilistic reasoning , 1993 .
[21] Eliezer L. Lozinskii. A Simple Test Improves Checking Satisfiability , 1993, J. Log. Program..
[22] Amnon Barak,et al. The MOSIX Distributed Operating System , 1993, Lecture Notes in Computer Science.
[23] E. Shortliffe. Computer-based medical consultations: mycin (elsevier north holland , 1976 .
[24] David Heckerman,et al. Probabilistic Interpretation for MYCIN's Certainty Factors , 1990, UAI.
[25] E. T. Jaynes,et al. Where do we Stand on Maximum Entropy , 1979 .
[26] Eliezer L. Lozinskii,et al. Information and evidence in logic systems , 1994, J. Exp. Theor. Artif. Intell..
[27] J. Aczél,et al. Maximum Entropy and Bayesian Methods in Applied Statistics: Generalized Entropies and the Maximum Entropy Principle , 1986 .
[28] Hilary Putnam,et al. A Computing Procedure for Quantification Theory , 1960, JACM.
[29] Noam Nisan,et al. Approximate Inclusion-Exclusion , 1990, Comb..
[30] Amnon Barak,et al. The MOSIX Distributed Operating System: Load Balancing for UNIX , 1993 .
[31] Stephen A. Cook,et al. The complexity of theorem-proving procedures , 1971, STOC.
[32] M. Tribus. Information Theory as the Basis for Thermostatics and Thermodynamics , 1961 .
[33] Giorgio Gallo,et al. Algorithms for Testing the Satisfiability of Propositional Formulae , 1989, J. Log. Program..
[34] John McCarthy,et al. Circumscription - A Form of Non-Monotonic Reasoning , 1980, Artif. Intell..
[35] Norbert Wiener,et al. Cybernetics: Control and Communication in the Animal and the Machine. , 1949 .
[36] János Aczél,et al. Entropies, Generalized Entropies, Inequalities, and the Maximum Entropy Principle , 1987 .
[37] Moisés Goldszmidt,et al. A Maximum Entropy Approach to Nonmonotonic Reasoning , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[38] Edward H. Shortliffe,et al. Computer-based medical consultations, MYCIN , 1976 .
[39] E. Jaynes. Information Theory and Statistical Mechanics , 1957 .
[40] Judea Pearl,et al. Probabilistic reasoning in intelligent systems , 1988 .
[41] Edward T. Lee,et al. An algorithm for region filling using two‐dimensional grammars , 1987, Int. J. Intell. Syst..