Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine learning community. Various machine learning problems such as non-stationarity adaptation, outlier detection, dimensionality reduction, independent component analysis, clustering, classification and conditional density estimation can ...
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Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine learning community. Various machine learning problems such as non-stationarity adaptation, outlier detection, dimensionality reduction, independent component analysis, clustering, classification and conditional density estimation can be systematically solved via the estimation of probability density ratios. The authors offer a comprehensive introduction of various density ratio estimators including methods via density estimation, moment matching, probabilistic classification, density fitting and density ratio fitting, as well as describing how these can be applied to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric convergence analysis and numerical stability analysis to complete the first and definitive treatment of the entire framework of density ratio estimation in machine learning.
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New. Trade paperback (US). 341 p. Worked examples or Exercises; 18 Tables, unspecified; 1 Halftones, unspecified; 1 Halftones, black and white; 78 Line drawings, black and white. Intended for professional and scholarly audience.
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New. 342 p. 18 Tables, unspecified; 1 Halftones, unspecified; 1 Halftones, black and white; 78 Line drawings, black and white. Intended for professional and scholarly audience.
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New. Trade paperback (US). Contains: Line drawings, black & white, Halftones, black & white, Halftones, Tables, Unspecified. 79 b/w illus. 18 tables. Intended for professional and scholarly audience.
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Fine. Contains: Line drawings, black & white, Halftones, black & white, Halftones, Tables. 79 b/w illus. 18 tables. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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Seller's Description:
New. Contains: Line drawings, black & white, Halftones, black & white, Halftones, Tables. 79 b/w illus. 18 tables. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Contains: Line drawings, black & white, Halftones, black & white, Halftones, Tables. 79 b/w illus. 18 tables. Intended for professional and scholarly audience.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Trade paperback (US). Contains: Line drawings, black & white, Halftones, black & white, Halftones, Tables, Unspecified. 79 b/w illus. 18 tables. Intended for professional and scholarly audience.
