Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997)
0.01
0.010299881 = product of:
0.041199524 = sum of:
0.041199524 = product of:
0.061799284 = sum of:
0.009770338 = weight(_text_:a in 437) [ClassicSimilarity], result of:
0.009770338 = score(doc=437,freq=6.0), product of:
0.055348642 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.04800207 = queryNorm
0.17652355 = fieldWeight in 437, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0625 = fieldNorm(doc=437)
0.052028947 = weight(_text_:22 in 437) [ClassicSimilarity], result of:
0.052028947 = score(doc=437,freq=2.0), product of:
0.16809508 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.04800207 = 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)
0.6666667 = coord(2/3)
0.25 = coord(1/4)
- 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
- Type
- a