Case-Based Approximate Reasoning - Eyke Hüllermeier
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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.
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Aprašymas
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.
Vairāk informācijas
| Autors | Eyke Hüllermeier |
|---|---|
| Izdevējs | Springer |
| Izlaides gads | 2007 |
| Vāka tips | Cietais vāks |
| EAN | 9781402056949 |