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By Henk Barendregt, Kees Hemerik (auth.), Neil Jones (eds.)
This quantity offers the court cases of a convention on programming and programming languages. It comprises unique examine contributions addressing primary matters and demanding advancements within the layout, specification and implementation of programming languages and structures. themes contain: - application improvement: specification, technique, instruments, environments; - Programming language techniques: varieties, information abstraction, parallelism, real-time; - Language implementation thoughts: compilers, interpreters, summary computer layout, optimization; - courses as facts items: summary interpretation, application transformation, partial assessment; - Programming kinds: significant, useful, predicative, object-oriented.
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Additional resources for ESOP '90: 3rd European Symposium on Programming Copenhagen, Denmark, May 15–18, 1990 Proceedings
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Flach, C. W. Lloyd. Strongly typed inductive concept learning. In D. ) Proc. Eighth Int. Conference on Inductive Logic Programming, pp. 185–194, Springer, LNAI 1446, 1998. 29. Y. E. Shapire. Experiments with a new boosting algorithm. In Proc. Thirteenth International Machine Learning Conference ICML’96, 148–156, Morgan Kaufmann, 1996. 30. A. Giordana, C. Sale. Learning structured concepts using genetic algorithms. In Proc. Ninth Int. Workshop on Machine Learning, pp. 169–178, 1992. 31. T. W. Coiera.
Besides the language bias, Tilde allows for lookahead and prepruning (according to the minimal number of examples covered) defined by parameter setting. First-order regression. , Xn are bound). Typical background knowledge predicates include less-or-equal tests, addition, subtraction and multiplication. An approach to relational regression is implemented in the system FORS (First Order Regression System) [33] which performs top-down search of a refinement graph. In each clause, FORS can predict a value for the target variable Y as the output value of a background knowledge literal, as a constant, or as a linear combination of variables appearing in the clause (using linear regression).
Machine Learning, 26(2/3): 147–176, 1997. 34. M. S. Subrahmanian. Generalized annotated logic programs. Journal of Logic Programming, 1992. 35. D. King, S. Muggleton, R. E. Sternberg. Drug design by machine learning: The use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase. Proc. of the National Academy of Sciences of the USA 89(23): 11322–11326, 1992. 36. M. Kirsten, S. Wrobel. Relational distance-based clustering.