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91
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KDD
2002
ACM
126views Data Mining» more  KDD 2002»
15 years 10 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
CIKM
2000
Springer
15 years 2 months ago
Scalable association-based text classification
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...
Dimitris Meretakis, Dimitris Fragoudis, Hongjun Lu...
COLING
2008
14 years 11 months ago
Investigating Statistical Techniques for Sentence-Level Event Classification
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Summarisation. In ...
Martina Naughton, Nicola Stokes, Joe Carthy
104
Voted
MLMI
2005
Springer
15 years 3 months ago
Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integr
Acoustic events produced in meeting-room-like environments may carry information useful for perceptually aware interfaces. In this paper, we focus on the problem of combining diffe...
Andrey Temko, Dusan Macho, Climent Nadeu
112
Voted
FLAIRS
2004
14 years 11 months ago
Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
ZhenQiu Liu, Dechang Chen