[Get.mmfm] Case-Based Reasoning Technology From Foundations to Applications (Lecture Notes in Computer Science)
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Book Details :
Published on: 1998-10-15
Released on: 1998-05-13
Original language: English
Humanexpertsarenotsystemsofrules, theyarelibrariesofexperiences. Riesbeck and Schank (1989, p.15) Broadlyspeaking, case-basedreasoning(CBR)is concernedwith solvingnew problems by adapting solutions that worked for similar problems in the past. As with Arti cial Intelligence in general, case-based reasoning deals with two di erent aspects of intelligence: A r st motivation is to establish cog- tive models in order to understand human thinking and behavior. A second motivationis to buildsystemswhichhelpto solvereal-worldproblems.These twofacetscanbeconsideredastwosidesofthesamecoin.Traditionally, CBR researchinEuropehasconcentratedverymuchonthesecondaspect, though, of course, successful projects are not possible without a sound theory. The objective of this book is to summarize the results of recent years of research in CBR. A strong emphasis is put on projects performed and - plications developed in Germany. However, research has not been performed in isolation. Rather, a large number of cooperations between research sites throughout the world have been established which provided a fertile ground for the community. Hence, it is only natural that work from colleagues from France, Ireland, the Netherlands, and the United States has been included in this volume. This book is not intended to be a textbook giving a comprehensive overview of the eld. Rather, the objective is to consider in detail di - ent potential application areas, to work out the pros and cons of using CBR and to summarize the lessons learned from projects. For this, we assume that the reader already has at least a basic understanding of what case-based reasoning is all about. Browse Coursera Browse hundreds of courses and specializations in Business Computer Science Arts Humanities and more. 1000+ courses from schools like Stanford ... Item-based collaborative filtering recommendation algorithms Authors: Badrul Sarwar: GroupLens Research Group/Army HPC Research Center Department of Computer Science and Engineering University of ... Timeline of artificial intelligence - Wikipedia Artificial intelligence: Major goals; Knowledge reasoning: Planning: Machine learning: Natural language processing: Computer vision: Robotics: Artificial general ... Artificial intelligence - Wikipedia Artificial intelligence (AI) is intelligence exhibited by machines. In computer science an ideal "intelligent" machine is a flexible rational agent that perceives ... Academic Catalog - Des Moines University About Des Moines University. Founded in 1898 Des Moines University is the only private medical school in Iowa. The institution offers superior academics in a ... 2016-2017 Calendar Applications of the lognormal distribution Brownian motion geometric Brownian motion martingales Itos limma stochastic differential equations interest rate ... Artificial Intelligence - foundations of computational ... References. Aamodt A. and Plaza E. (1994). Case-based reasoning: foundational issues methodological variations and system approaches. AI Communications 7(1): 39-59. FST Academic Staff - Pak Kin WONG Services. Selected Professional Services (Since 2002-present) Editorship. Associate editor International Research Journal of Engineering Science Technology and ... ML Journal - Machine Learning Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a ... Health Science & Technology (HST ... - HMS Course Catalog Description: This elective is designed for students who are seeking an intensive focussed experience in urban community Family Medicine.Students will spend the bulk ...
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