Preface. - Introduction and preview. - Data and databases. - Random vectors and matrices. - Nonparametric density estimation. - Multiple regression and model assessment. - Multivariate regression. - Linear dimensionality reduction. - Linear discriminant analysis. - Recursive partitioning and decision trees. - Artificial nueral networks. - Support vector machines. - Cluster analysis. - Multidimensional scaling and distance geometry. - Committee machines. - Nonlinear dimensionality reduction. - Wavelets. - Correspondence analysis. - Notation and mathematical results. - References.
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Da: Magus Books Seattle, Seattle, WA, U.S.A.
Trade Paperback. Condizione: VG-. used trade paperback edition. lightly shelfworn, corners perhaps slightly bumped. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws. Codice articolo 1529691
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