Knowledge Acquisition and Machine Learning - Theory, Methods and Applications

Informationen zum Autor By Katharina Morik! Stefan Wrobel! Jorg-Uwe Kietz! and Werner Emde Klappentext For graduate-/research- level students and professors, this book integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge-based systems to maintain them successfully. It also reports on BLIP and MOBAL systems developed over the last decade, which illustrate a particular way of unifying knowledge acquisition and machine learning. Practically-orientated, theoretical skills have been used and tested in real-world applications. Inhaltsverzeichnis The Knowledge Acquisition Framework. The Knowledge Representation Environment. The Inference Im-2. The Sort Taxonomy. The Predicate Structure. Model-Driven Rule Discovery. Knowledge Revision. Concept Formation. Practical Experiences. Bibliography. Author Index. Name Index. Subject Index.

Product details

• Authors: Werner Emde, Borg-Ewe Kietz, Jorg-Uwe Kietz, Katharina Morik, Katharina Wrobel Morik, Katherina Morik, Stefan Wrobel
• Publisher: ELSEVIER SCIENCE BV
• Languages: English
• Product format: Hardback
• Released: 02.08.1993
• EAN: 9780125062305
• ISBN: 978-0-12-506230-5
• No. of pages: 305
• Series: Knowledge-Based Systems; Knowledge-Based Systems
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT