Case-Based Approximate Reasoning: Theory and Decision Library B, cartea 44
Autor Eyke Hüllermeieren Limba Engleză Paperback – 2 ian 2013
Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR. The case-based approximate reasoning methods thus obtained especially emphasize the heuristic nature of case-based inference and aspects of uncertainty in CBR. This way, the book contributes to a solid foundation of CBR which is grounded on formal concepts and techniques from the aforementioned fields. Besides, it establishes interesting relationships between CBR and approximate reasoning, which not only cast new light on existing methods but also enhance the development of novel approaches and hybrid systems.
This books is suitable for researchers and practioners in the fields of artifical intelligence, knowledge engineering and knowledge-based systems.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 970.73 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 2 ian 2013 | 970.73 lei 6-8 săpt. | |
Hardback (1) | 980.41 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 23 ian 2007 | 980.41 lei 6-8 săpt. |
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Specificații
ISBN-13: 9789048174317
ISBN-10: 9048174317
Pagini: 388
Ilustrații: XVI, 372 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.52 kg
Ediția:2007
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Theory and Decision Library B
Locul publicării:Dordrecht, Netherlands
ISBN-10: 9048174317
Pagini: 388
Ilustrații: XVI, 372 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.52 kg
Ediția:2007
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Theory and Decision Library B
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
Similarity and Case-Based Inference.- Constraint-Based Modeling of Case-Based Inference.- Probabilistic Modeling of Case-Based Inference.- Fuzzy Set-Based Modeling of Case-Based Inference I.- Fuzzy Set-Based Modeling of Case-Based Inference II.- Case-Based Decision Making.- Conclusions and Outlook.
Recenzii
From the reviews:
"In the last years developments were very successful that have been based on the general concept of case-based reasoning. … will get a lot of attention and for a good while will be the reference for many applications and further research. … the book can be used as an excellent guideline for the implementation of problem-solving programs, but also for courses in Artificial and Computional Intelligence. Everybody who is involved in research, development and teaching in Artificial Intelligence will get something out of it." (Christian Posthoff, Zentralblatt MATH, Vol. 1119 (21), 2007)
"In the last years developments were very successful that have been based on the general concept of case-based reasoning. … will get a lot of attention and for a good while will be the reference for many applications and further research. … the book can be used as an excellent guideline for the implementation of problem-solving programs, but also for courses in Artificial and Computional Intelligence. Everybody who is involved in research, development and teaching in Artificial Intelligence will get something out of it." (Christian Posthoff, Zentralblatt MATH, Vol. 1119 (21), 2007)
Caracteristici
Major contribution to the methodical foundations of case-based reasoning Builds bridges between the fields of CBR and approximate reaoning First monograph of this type