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129
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
We propose a new algorithm for independent component and independent subspace analysis problems. This algorithm uses a contrast based on the Schweizer-Wolff measure of pairwise de...
123
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Identifying the most influential documents in a corpus is an important problem in many fields, from information science and historiography to text summarization and news aggregati...
289
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ICANN
2011
Springer
14 years 7 months ago
2011
Springer
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
128
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FQAS
2004
Springer
15 years 9 months ago
2004
Springer
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
125
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ISDA
2009
IEEE
15 years 11 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...