416 search results - page 2 / 84 » Using Case-Base Data to Learn Adaptation Knowledge for Desig... |
EWCBR
2000
Springer
13 years 10 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...
EWCBR
2004
Springer
13 years 11 months ago
2004
Springer
By design, Case-Based Reasoning (CBR) systems do not need deep general knowledge. In contrast to (rule-based) expert systems, CBR systems can already be used with just some initial...
ICCBR
2001
Springer
13 years 10 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...
ECAI
1990
Springer
13 years 10 months ago
1990
Springer
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
IJCAI
1997
13 years 7 months ago
1997
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...