625 search results - page 30 / 125 » Feature selection methods for text classification |
102
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CIKM
2010
Springer
14 years 8 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
SMC
2007
IEEE
15 years 5 months ago
2007
IEEE
— In the present paper, we consider the automatic text categorization as a series of information processing and propose a new classification technique called the Frequency Ratio ...
KDD
2002
ACM
15 years 11 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
AUSAI
2007
Springer
15 years 2 months ago
2007
Springer
Abstract. This paper describes and compares the use of methods based on Ngrams (specifically trigrams and pentagrams), together with five features, to recognise the syntactic and s...
107
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KDD
2004
ACM
15 years 11 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...