10 search results - page 1 / 2 » Analysing Rough Sets weighting methods for Case-Based Reason... |
AEPIA
2002
13 years 10 months ago
2002
Case-Based Reasoning systems retrieve cases using a similarity function based on the K-NN or some derivatives. These functions are sensitive to irrelevant, interacting or noisy fe...
ICCBR
2003
Springer
14 years 4 months ago
2003
Springer
Case-Based Reasoning systems usually retrieve cases using a similarity function based on K-NN or some derivatives. These functions are sensitive to irrelevant or noisy features. We...
IBERAMIA
2004
Springer
14 years 4 months ago
2004
Springer
Early work on Case Based Reasoning reported in the literature shows the importance of soft computing techniques applied to different stages of the classical 4-step CBR life cycle. ...
ICCBR
2001
Springer
14 years 3 months ago
2001
Springer
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
EWCBR
2000
Springer
14 years 2 months ago
2000
Springer
This paper proposes a methodology of maintaining Case Based Reasoning (CBR) systems by using fuzzy decision tree induction - a machine learning technique. The methodology is mainly...