72 search results - page 3 / 15 » Text classification with the support of pruned dependency pa... |
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
MICRO
1993
IEEE
13 years 11 months ago
1993
IEEE
The conventional classification of inter-instruction dependencies (data, anti and output dependencies) provides a basic scheme for the analysis of pipeline hazards in pipelined in...
IDA
2006
Springer
13 years 7 months ago
2006
Springer
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
KDD
2002
ACM
14 years 8 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...
ISIWI
2000
13 years 8 months ago
2000
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...