Case-Based Approximate Reasoning

• Κύριος συγγραφέας: Hüllermeier, Eyke (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands, 2007.
• Σειρά: Theory and Decision Library ; 44
• Θέματα: Computer science.; Mathematical statistics.; Artificial intelligence.; Mathematics.; Statistics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Probability and Statistics in Computer Science.; Mathematics, general.; Statistics, general.

Case-based reasoning (CBR) has received a great deal of attention in recent years and has established itself as a core methodology in the field of artificial intelligence. The key idea of CBR is to tackle new problems by referring to similar problems that have already been solved in the past. More p...

Πίνακας περιεχομένων:

• 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.