The Learnability of Business Rules
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[1] A. Turing. On Computable Numbers, with an Application to the Entscheidungsproblem. , 1937 .
[2] Vinod Vaikuntanathan,et al. Aggregate Pseudorandom Functions and Connections to Learning , 2015, TCC.
[3] Leslie G. Valiant,et al. A theory of the learnable , 1984, CACM.
[4] Leo Liberti,et al. Controlling the Average Behavior of Business Rules Programs , 2016, RuleML.
[5] Leslie G. Valiant,et al. Cryptographic Limitations on Learning Boolean Formulae and Finite Automata , 1993, Machine Learning: From Theory to Applications.
[6] Stephan Kepser,et al. A Simple Proof for the Turing-Completeness of XSLT and XQuery , 2004, Extreme Markup Languages®.
[7] Hendrik Blockeel,et al. Top-Down Induction of First Order Logical Decision Trees , 1998, AI Commun..
[8] L. M. Berliner,et al. Statistics, Probability and Chaos , 1992 .
[9] Claude E. Shannon,et al. A Universal Turing Machine with Two Internal States , 1956 .
[10] S. C. Kleene,et al. Introduction to Metamathematics , 1952 .
[11] Leo Liberti,et al. Mathematical programming: Turing completeness and applications to software analysis , 2014, Journal of Combinatorial Optimization.
[12] 守屋 悦朗,et al. J.E.Hopcroft, J.D. Ullman 著, "Introduction to Automata Theory, Languages, and Computation", Addison-Wesley, A5変形版, X+418, \6,670, 1979 , 1980 .
[13] Jeffrey D. Ullman,et al. Introduction to Automata Theory, Languages and Computation , 1979 .
[14] Silvio Micali,et al. How to construct random functions , 1986, JACM.
[15] Luc De Raedt,et al. First-Order jk-Clausal Theories are PAC-Learnable , 1994, Artif. Intell..
[16] Leo Liberti,et al. Business Rule Sets as Programs: Turing-completeness and Structural Operational Semantics , 2015 .