{"product_id":"multi-label-dimensionality-reduction-hardback","title":"Multi-Label Dimensionality Reduction - Hardback","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® package for implementing popular dimensionality reduction algorithms.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45565375807726,"sku":"9781439806159","price":176.8,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/9781439806159.jpg?v=1720678216","url":"https:\/\/bookland.com.au\/products\/multi-label-dimensionality-reduction-hardback","provider":"Book Land AU","version":"1.0","type":"link"}