Multi-Label Dimensionality Reduction (Hardcover, New)

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 a unified treatment of multi-label dimensionality reduction that incorporates both algorithmic developments and applications. Addressing this shortfall, Multi-Label Dimensionality Reduction covers the methodological developments, theoretical properties, computational aspects, and applications of many multi-label dimensionality reduction algorithms. It explores numerous research questions, including: How to fully exploit label correlations for effective dimensionality reduction How to scale dimensionality reduction algorithms to large-scale problems How to effectively combine dimensionality reduction with classification How to derive sparse dimensionality reduction algorithms to enhance model interpretability How to perform multi-label dimensionality reduction effectively in practical applications The authors emphasize their extensive work on dimensionality reduction for multi-label learning. Using a case study of Drosophila gene expression pattern image annotation, they demonstrate how to apply multi-label dimensionality reduction algorithms to solve real-world problems. A supplementary website provides a MATLAB (R) package for implementing popular dimensionality reduction algorithms.

General

Imprint:	Taylor & Francis
Country of origin:	United States
Series:	Chapman & Hall/CRC Machine Learning & Pattern Recognition
Release date:	November 2013
First published:	2010
Authors:	Liang Sun • Shuiwang Ji • Jieping Ye
Dimensions:	234 x 156 x 17mm (L x W x T)
Format:	Hardcover
Pages:	208
Edition:	New
ISBN-13:	978-1-4398-0615-9
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	1-4398-0615-2
Barcode:	9781439806159

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