Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997)
0.02
0.023248812 = product of:
0.046497624 = sum of:
0.021056809 = product of:
0.084227234 = sum of:
0.084227234 = weight(_text_:based in 437) [ClassicSimilarity], result of:
0.084227234 = score(doc=437,freq=10.0), product of:
0.14144066 = queryWeight, product of:
3.0129938 = idf(docFreq=5906, maxDocs=44218)
0.04694356 = queryNorm
0.5954952 = fieldWeight in 437, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
3.0129938 = idf(docFreq=5906, maxDocs=44218)
0.0625 = fieldNorm(doc=437)
0.25 = coord(1/4)
0.025440816 = product of:
0.05088163 = sum of:
0.05088163 = weight(_text_:22 in 437) [ClassicSimilarity], result of:
0.05088163 = score(doc=437,freq=2.0), product of:
0.16438834 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04694356 = queryNorm
0.30952093 = fieldWeight in 437, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=437)
0.5 = coord(1/2)
0.5 = coord(2/4)
- Abstract
- Proposes a new architecture combining rule-based reasoning (RBR), case based reasoning (CBR) and knowledge acquisition technology in a system which solves pattern search problems. Details the pattern search problem, the system architecture and functions, error repair method via case-based reasoning, the knowledge acquisition method, system evaluation, and discusses related work
- Date
- 6. 3.1997 16:22:15
- Theme
- Case Based Reasoning