10 search results - page 1 / 2 » Analysing Rough Sets weighting methods for Case-Based Reason... |
AEPIA
2002
13 years 4 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
13 years 10 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
13 years 10 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
13 years 9 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
13 years 8 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...