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Case-based reasoning /

Case-based reasoning is one of the fastest growing areas in the field of knowledge-based systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Case-based reasoning systems are systems that store information about situations in their memory. As new...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kolodner, Janet L.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Mateo, CA : Morgan Kaufmann Publishers, �1993.
Temas:
Acceso en línea:Texto completo

MARC

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020 |a 1483294498 
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050 4 |a QA76.76.E95  |b K64 1993 
082 0 4 |a 006.3/3  |2 21 
084 |a 54.72  |2 bcl 
100 1 |a Kolodner, Janet L. 
245 1 0 |a Case-based reasoning /  |c Janet Kolodner. 
260 |a San Mateo, CA :  |b Morgan Kaufmann Publishers,  |c �1993. 
300 |a 1 online resource (xviii, 668 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references (pages 629-649) and index. 
505 0 |a pt. I. Background. 1. What Is Case-Based Reasoning? 2. Case Studies of Several Case-Based Reasoners. 3. Reasoning Using Cases. 4. The Cognitive Model -- pt. II. The Case Library: Representing and Indexing Cases. 5. Representing Cases. 6. Indexing Vocabulary. 7. Methods for Index Selection -- pt. III. Retrieving Cases from the Case Library. 8. Organizational Structures and Retrieval Algorithms. 9. Matching and Ranking Cases. 10. Indexing and Retrieval -- pt. IV. Using Cases. 11. Adaptation Methods and Strategies. 12. Controlling Adaptation. 13. Using Cases for Interpretation and Evaluation. 14. Using Cases: Some Additional Issues -- pt. V. Pulling It All Together. 15. Building a Case-Based Reasoner. 16. Conclusions, Opportunities, Challenges -- Appendix: A Case Library of Case-Based Reasoning Systems. 
506 |3 Use copy  |f Restrictions unspecified  |2 star  |5 MiAaHDL 
533 |a Electronic reproduction.  |b [Place of publication not identified] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL 
538 |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.  |u http://purl.oclc.org/DLF/benchrepro0212  |5 MiAaHDL 
583 1 |a digitized  |c 2010  |h HathiTrust Digital Library  |l committed to preserve  |2 pda  |5 MiAaHDL 
588 0 |a Print version record. 
520 |a Case-based reasoning is one of the fastest growing areas in the field of knowledge-based systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Case-based reasoning systems are systems that store information about situations in their memory. As new problems arise, similar situations are searched out to help solve these problems. Problems are understood and inferences are made by finding the closest cases in memory, comparing and contrasting the problem with those cases, making inferences based on those comparisons, and asking questions when inferences can't be made. 
546 |a English. 
650 0 |a Expert systems (Computer science) 
650 2 |a Expert Systems  |0 (DNLM)D005103 
650 6 |a Syst�emes experts (Informatique)  |0 (CaQQLa)201-0124822 
650 7 |a Expert systems (Computer science)  |2 fast  |0 (OCoLC)fst00918516 
650 1 7 |a Redeneren.  |2 gtt 
650 1 7 |a Expertsystemen.  |2 gtt 
650 7 |a Sistemas especialistas.  |2 larpcal 
650 7 |a Intelig�encia artificial.  |2 larpcal 
776 0 8 |i Print version:  |a Kolodner, Janet L.  |t Case-based reasoning.  |d San Mateo, CA : Morgan Kaufmann Publishers, �1993  |w (DLC) 93035703  |w (OCoLC)28889808 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9781558602373  |z Texto completo