506 search results - page 1 / 102 » Feature Selection for the Classification of Large Document C... |
JUCS
2008
13 years 4 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
TREC
2004
13 years 6 months ago
2004
We approached the problem of classifying papers for the TREC 2004 Genomics Track triage task as a four step process: feature generation, feature selection, classifier training, an...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Large-scale digitization projects aimed at periodicals often have as input streams of completely unlabeled document images. In such situations, the results produced by the automat...
CIKM
2000
Springer
13 years 9 months ago
2000
Springer
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...