{"product_id":"multi-label-dimensionality-reduction-liang-sun-9781439806159","title":"Multi-Label Dimensionality Reduction","description":"\u003cp\u003eSimilar 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. \u003c\/p\u003e\u003cp\u003eAddressing this shortfall, \u003cstrong\u003eMulti-Label Dimensionality Reduction\u003c\/strong\u003e covers the methodological developments, theoretical properties, computational aspects, and applications of many multi-label dimensionality reduction algorithms. It explores numerous research questions, including: \u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003e\u003cem\u003eHow to fully exploit label correlations for effective dimensionality reduction\u003c\/em\u003e\u003c\/li\u003e \u003cli\u003e\u003cem\u003eHow to scale dimensionality reduction algorithms to large-scale problems\u003c\/em\u003e\u003c\/li\u003e \u003cli\u003e\u003cem\u003eHow to effectively combine dimensionality reduction with classification\u003c\/em\u003e\u003c\/li\u003e \u003cli\u003e\u003cem\u003eHow to derive sparse dimensionality reduction algorithms to enhance model interpretability\u003c\/em\u003e\u003c\/li\u003e \u003cli\u003e\u003cem\u003eHow to perform multi-label dimensionality reduction effectively in practical applications\u003c\/em\u003e\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThe authors emphasize their extensive work on dimensionality reduction for multi-label learning. Using a case study of \u003cem\u003eDrosophila\u003c\/em\u003e 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.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Liang Sun,Shuiwang Ji,Jieping Ye\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1439806152\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781439806159\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/04\/2013\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 208\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.40lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.30h x 6.00w x 0.60d","brand":"Liang Sun","offers":[{"title":"Hardcover","offer_id":48659380666623,"sku":"9781439806159","price":160.0,"currency_code":"USD","in_stock":false}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/multi-label-dimensionality-reduction-liang-sun-9781439806159","provider":"WR Book House","version":"1.0","type":"link"}