Kruse, R.; Borgelt, C.: Suche im Datendschungel (2002)
0.00
0.0038522747 = product of:
0.04430116 = sum of:
0.024968514 = weight(_text_:im in 1087) [ClassicSimilarity], result of:
0.024968514 = score(doc=1087,freq=2.0), product of:
0.066621356 = queryWeight, product of:
2.8267863 = idf(docFreq=7115, maxDocs=44218)
0.023567878 = queryNorm
0.37478244 = fieldWeight in 1087, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.8267863 = idf(docFreq=7115, maxDocs=44218)
0.09375 = fieldNorm(doc=1087)
0.019332644 = product of:
0.038665287 = sum of:
0.038665287 = weight(_text_:29 in 1087) [ClassicSimilarity], result of:
0.038665287 = score(doc=1087,freq=2.0), product of:
0.08290443 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.023567878 = queryNorm
0.46638384 = fieldWeight in 1087, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.09375 = fieldNorm(doc=1087)
0.5 = coord(1/2)
0.08695652 = coord(2/23)
- Date
- 31.12.1996 19:29:41
Borgelt, C.; Kruse, R.: Unsicheres Wissen nutzen (2002)
0.00
0.0025131882 = product of:
0.028901665 = sum of:
0.012791129 = weight(_text_:und in 1104) [ClassicSimilarity], result of:
0.012791129 = score(doc=1104,freq=2.0), product of:
0.052235067 = queryWeight, product of:
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.023567878 = queryNorm
0.24487628 = fieldWeight in 1104, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.078125 = fieldNorm(doc=1104)
0.016110536 = product of:
0.03222107 = sum of:
0.03222107 = weight(_text_:29 in 1104) [ClassicSimilarity], result of:
0.03222107 = score(doc=1104,freq=2.0), product of:
0.08290443 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.023567878 = queryNorm
0.38865322 = fieldWeight in 1104, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.078125 = fieldNorm(doc=1104)
0.5 = coord(1/2)
0.08695652 = coord(2/23)
- Abstract
- Probabilistische Schlussfolgerungsnetze sind ein probates Mittel, unsicheres Wissen sauber und mathematisch fundiert zu verarbeiten. In neuerer Zeit wurden Verfahren entwickelt, um sie automatisch aus Beispieldaten zu erlernen
- Date
- 31.12.1996 19:29:41