Download PDF by John Laird: Machine Learning Proceedings 1988. Proceedings of the Fifth

By John Laird

ISBN-10: 0934613648

ISBN-13: 9780934613644

Lawsuits of June 1988. unique articles concentrate on many components of computer studying together with empirical equipment, explanation-based equipment, genetic algorithms, connectionist studying, probabilistic tools and formal theories of studying. No index. Annotation copyright ebook information, Inc. Portland, Or

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Extra info for Machine Learning Proceedings 1988. Proceedings of the Fifth International Conference on Machine Learning, June 12–14, 1988, University of Michigan, Ann Arbor

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Discoid rash 3. Photosensitivity 4. Oral ulcers 5. Arthritis 6. Serositis 7. Renal disorder 8. Neurologic disorder 9. Hématologie disorder 10. Immunologie disorder 11. Antinuclear antibody For the purpose of identifying patients in clinical studies, any 4 or more of the 11 criteria satisfy the rule. 1 Why criteria tables? There are several reasons for choosing this knowledge representation: 1. They are used widely in medicine to express explicit diagnostic criteria. Examples of disorders for which there are criteria tables include rheumatic fever, polycythemia vera, thrombotic thrombocytopenic purpura, multiple myeloma, systemic lupus erythematosus, and others.

Provide t h e list of labels of leaves, ordered by leaf index. g. lexicographically), and specify the label of the common p a r e n t of each pair (NIL if none). For level 1, order pairs of non-null vertices. For every pair specify the label of the common p a r e n t (or NIL). R e p e a t the last s t e p for each higher level, up to a level with all null vertices. T h e cost of this r e p r e s e n t a t i o n C(H) is C{H) = G{N) - S l o g p[LBL{v)}+ C{termination) T h e first t e r m is the cost of N, next is the cost of specifying vertex labels, and the last is the cost of a t e r m i n a t i n g symbol.

The CN2 induction algorithm. Machine Learning. Fisher, D. H. (1987). Knowledge acquisition via incremental conceptual clustering. Doctoral dissertation, Department of Information and Computer Science, University of California, Irvine, CA. , & Corter, J. (1985). Information, uncertainty, and the utility of categories. In Proceedings of the Seventh Annual Conference of the Cognitive Science Society (pp. 283287). Irvine, CA: Lawrence Erlbaum. , & Langley, P. (1988). Trading off simplicity and coverage in incremental concept learning.

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Machine Learning Proceedings 1988. Proceedings of the Fifth International Conference on Machine Learning, June 12–14, 1988, University of Michigan, Ann Arbor by John Laird


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