Kernel Methods for Machine Learning with Math and RaKernel methods for machine learning with math and R : 100 exercises for building logic / / Joe Suzuki

• Record Nr.: UNINA9910568296803321
• Autore: Suzuki Joe
• Pubbl/distr/stampa: Gateway East, Singapore : , : Springer, , [2022]; ©2022
• ISBN: 9789811903984; 9789811903977
• Descrizione fisica: 1 online resource (203 pages)
• Disciplina: 006.31
• Soggetti: R (Computer program language); Kernel functions
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- How to Overcome Your Kernel Weakness -- What Makes KMMR Unique? -- Acknowledgments -- Contents -- 1 Positive Definite Kernels -- 1.1 Positive Definiteness of a Matrix -- 1.2 Kernels -- 1.3 Positive Definite Kernels -- 1.4 Probability -- 1.5 Bochner's Theorem -- 1.6 Kernels for Strings, Trees, and Graphs -- Appendix -- Exercises 1 sim 15 -- 2 Hilbert Spaces -- 2.1 Metric Spaces and Their Completeness -- 2.2 Linear Spaces and Inner Product Spaces -- 2.3 Hilbert Spaces -- 2.4 Projection Theorem -- 2.5 Linear Operators -- 2.6 Compact Operators -- Appendix: Proofs of Propositions -- Exercises -- 3 Reproducing Kernel Hilbert Space -- 3.1 RKHSs -- 3.2 Sobolev Space -- 3.3 Mercer's Theorem -- Appendix -- Exercises -- 4 Kernel Computations -- 4.1 Kernel Ridge Regression -- 4.2 Kernel Principle Component Analysis -- 4.3 Kernel SVM -- 4.4 Spline Curves -- 4.5 Random Fourier Features -- 4.6 Nyström Approximation -- 4.7 Incomplete Cholesky Decomposition -- Appendix -- Exercises 46sim64 -- 5 The MMD and HSIC -- 5.1 Random Variables in RKHSs -- 5.2 The MMD and Two-Sample Problem -- 5.3 The HSIC and Independence Test -- 5.4 Characteristic and Universal Kernels -- 5.5 Introduction to Empirical Processes -- Appendix -- 6 Gaussian Processes and Functional Data Analyses -- 6.1 Regression -- 6.2 ; Classification -- 6.3 Gaussian Processes with Inducing Variables -- 6.4 Karhunen-Lóeve Expansion -- 6.5 Functional Data Analysis -- Appendix -- Exercises 83sim100 -- Appendix Bibliography.

Reasoning in measurement / / edited by Nicola MÖSSNER and Alfred Nordmann

• Record Nr.: UNINA9910792875403321
• Pubbl/distr/stampa: London ; ; New York : , : Routledge, , 2017
• ISBN: 1-351-96643-X; 1-78144-871-X; 1-351-96644-8
• Descrizione fisica: 1 online resource (275 pages) : illustrations
• Collana: History and Philosophy of Technoscience ; ; 9
• Altri autori (Persone): MA?ssnerNicola; NordmannAlfred <1956->
• Disciplina: 530.801
• Soggetti: Measurement - History; Metrology - History
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: pt. I. Founding figures -- part II. Images as measurements -- part III. Measuring the immeasurable -- part IV. Calibrating mind and world.