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Multi-Label Dimensionality Reduction
Language
English
English
E-book
Adobe ePub DRM
Similar to other data mining and machine learning tasks, multi-label learning suffers from dimension...
Full description
Libristo code: 47535912
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190 b
190 b
78.47
€
In stock
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Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data mining and machine learning literature currently lacks
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About the book
Full name
Multi-Label Dimensionality Reduction
Author
Liang Sun, Shuiwang Ji, Jieping Ye
Language
English
English
Binding
E-book - Adobe ePub DRM
Date of issue
2016
Number of pages
208
EAN
9781040069875
Libristo code
47535912
Publishers
Chapman and Hall/CRC
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