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Multi-Label Dimensionality Reduction by Liang Sun, Shuiwang Ji and Jieping Ye is a book available to read on EtoBox.
What is Multi-Label Dimensionality Reduction about?
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
- Author
- Liang Sun, Shuiwang Ji and Jieping Ye
- Publisher
- Taylor & Francis Group
- Published
- 2014
- Language
- EN
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