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100
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ACIVS
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
132
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RULEML
2009
Springer
15 years 8 months ago
2009
Springer
Rule bases are increasingly being used as repositories of knowledge content on the Semantic Web. As the size and complexity of these rule bases s, developers and end users need met...
108
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ERCIMDL
2007
Springer
15 years 7 months ago
2007
Springer
Using keyword search to find relevant objects in digital libraries often results in way too large result sets. Based on the metadata associated with such objects, the faceted sear...
ISI
2007
Springer
15 years 7 months ago
2007
Springer
— With the ever-increasing number of digital documents, the ability to automatically classifying those documents both quickly and accurately is becoming more critical and difficu...
130
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SAC
2006
ACM
15 years 7 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...