Search (2 results, page 1 of 1)
-
Ko, Y.; Seo, J.: Text classification from unlabeled documents with bootstrapping and feature projection techniques (2009)
0.01
0.012524303 = product of: 0.025048606 = sum of: 0.025048606 = product of: 0.07514582 = sum of: 0.07514582 = weight(_text_:y in 2452) [ClassicSimilarity], result of: 0.07514582 = score(doc=2452,freq=2.0), product of: 0.23555198 = queryWeight, product of: 4.8124003 = idf(docFreq=976, maxDocs=44218) 0.04894688 = queryNorm 0.3190201 = fieldWeight in 2452, product of: 1.4142135 = tf(freq=2.0), with freq of: 2.0 = termFreq=2.0 4.8124003 = idf(docFreq=976, maxDocs=44218) 0.046875 = fieldNorm(doc=2452) 0.33333334 = coord(1/3) 0.5 = coord(1/2)
-
Ko, Y.: ¬A new term-weighting scheme for text classification using the odds of positive and negative class probabilities (2015)
0.01
0.012524303 = product of: 0.025048606 = sum of: 0.025048606 = product of: 0.07514582 = sum of: 0.07514582 = weight(_text_:y in 2339) [ClassicSimilarity], result of: 0.07514582 = score(doc=2339,freq=2.0), product of: 0.23555198 = queryWeight, product of: 4.8124003 = idf(docFreq=976, maxDocs=44218) 0.04894688 = queryNorm 0.3190201 = fieldWeight in 2339, product of: 1.4142135 = tf(freq=2.0), with freq of: 2.0 = termFreq=2.0 4.8124003 = idf(docFreq=976, maxDocs=44218) 0.046875 = fieldNorm(doc=2339) 0.33333334 = coord(1/3) 0.5 = coord(1/2)