Shan hwei cheng (9 resultados)

Soft cover. Condición: Near Fine. Estado de la sobrecubierta: Very Good. ISBN 3540629270. "Lecture Notes in Computer Science". In near fine grey and navy card, green and blue titles to front. The covers are tight, straight and very clean. Unmarked white end papers and cut edges. The text block is tightly bound, straight and clean - near fine plus condition - with no inscriptions etc. In very good green and black card dust jacket, yellow titles and diagram to front; piece of adhesive tape attached to middle area of front by back strip; otherwise clean.…

Hardcover. Condición: Good. 2006, hardcover, goed exemplaar.

paperback. Condición: New. In shrink wrap. Looks like an interesting title.

paperback. Condición: New. In shrink wrap. Looks like an interesting title.

Taschenbuch. Condición: Neu. Foundations of Inductive Logic Programming | Shan-Hwei Nienhuys-Cheng (u. a.) | Taschenbuch | xviii | Englisch | 1997 | Springer | EAN 9783540629276 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condición: Very Good.

PF. Condición: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Inductive Logic Programming is a young and rapidly growing field combining machine learning and logic programming. This self-contained tutorial is the first theoretical introduction to ILP it provides the reader with a rigorous and sufficiently broad basis.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Inductive Logic Programming is a young and rapidly growing field combining machine learning and logic programming. This self-contained tutorial is the first theoretical introduction to ILP; it provides the reader with a rigorous and sufficiently broad basis for future research in the area.In the first part, a thorough treatment of first-order logic, resolution-based theorem proving, and logic programming is given. The second part introduces the main concepts of ILP and systematically develops the most important results on model inference, inverse resolution, unfolding, refinement operators, least generalizations, and ways to deal with background knowledge. Furthermore, the authors give an overview of PAC learning results in ILP and of some of the most relevant implemented systems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 428 pp. Englisch.…