AAI
2006
14 years 10 months ago
2006
Extensive experimental evidence is required to study the impact of text categorization approaches on real data and to assess the performance within operational scenarios. In this ...
CIKM
2009
Springer
15 years 1 months ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
ICCBR
1997
Springer
15 years 2 months ago
1997
Springer
Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...
ISMIR
2004
Springer
15 years 3 months ago
2004
Springer
This paper proposes the use of feature weights to reveal the hierarchical nature of music audio. Feature weighting has been exploited in machine learning, but has not been applied...
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ISMIR
2005
Springer
15 years 3 months ago
2005
Springer
Music classification continues to be an important component of music information retrieval research. An underutilized tool for improving the performance of classifiers is feature ...