864 search results - page 16 / 173 » The Feature Importance Ranking Measure |
125
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ECIR
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. Quantum theory (QT) has recently been employed to advance the theory of information retrieval (IR). A typical method, namely the Quantum Probability Ranking Principle (QP...
ISDA
2009
IEEE
15 years 4 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
75
Voted
NAACL
2007
14 years 11 months ago
2007
This work evaluates a system that uses interpolated predictions of reading difficulty that are based on both vocabulary and grammatical features. The combined approach is compared...
72
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CLEIEJ
2008
14 years 9 months ago
2008
Documents in HTML format have many features to analyze, from the terms in special sections to the phrases that appear in the whole document. However, it is important to decide whi...
101
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ICDM
2002
IEEE
15 years 2 months ago
2002
IEEE
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...