An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces, Pereverzyev
Автор: Carlo Alabiso; Ittay Weiss Название: A Primer on Hilbert Space Theory ISBN: 3319353519 ISBN-13(EAN): 9783319353517 Издательство: Springer Рейтинг: Цена: 8548.00 р. Наличие на складе: Есть (1 шт.) Описание: This introduction to Hilbert space will equip the reader for more demanding further study. It builds a pedagogic bridge between the rigorous style of mathematics and the more practical perspective of physicists.
Автор: Vasudeva, Harkrishan Lal Название: Elements of hilbert spaces and operator theory ISBN: 9811030197 ISBN-13(EAN): 9789811030192 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Properties of the spectrum of different classes of operators, such as normal operators, self-adjoint operators, unitaries, isometries and compact operators have been discussed.
Автор: W. Mlak Название: Hilbert Spaces and Operator Theory ISBN: 079231042X ISBN-13(EAN): 9780792310426 Издательство: Springer Рейтинг: Цена: 13415.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering the fundamental underlying theory as well as a range of applications, this unique text provides a unified overview of reproducing kernel Hilbert spaces. It offers an unrivalled and accessible introduction to the field, ideal for graduate students and researchers working in functional analysis or its applications.
Автор: Daniel Alpay Название: Reproducing Kernel Spaces and Applications ISBN: 3034894309 ISBN-13(EAN): 9783034894302 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The notions of positive functions and of reproducing kernel Hilbert spaces play an important role in various fields of mathematics, such as stochastic processes, linear systems theory, operator theory, and the theory of analytic functions.
Автор: Saitoh Saburou, Sawano Yoshihiro Название: Theory of Reproducing Kernels and Applications ISBN: 9811091846 ISBN-13(EAN): 9789811091841 Издательство: Springer Рейтинг: Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Includes practical exercises on qualitative tests for carbohydrates, proteins, amino acids, lipids and non-protein nitrogenous substances, qualitative and quantitative analysis of urine and of various body fluids, quantitative estimation of various metabolites in serum/plasma, and estimation of various serum diagnostic enzymes.
Автор: S. Saitoh; Daniel Alpay; Joseph A. Ball; Takeo Ohs Название: Reproducing Kernels and their Applications ISBN: 1441948090 ISBN-13(EAN): 9781441948090 Издательство: Springer Рейтинг: Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The First International Congress of the International Society for Analysis, its Applications and Computations (ISAAC`97) was held at the University of Delaware from 3 to 7 June 1997. Rather than restricting the papers to Congress participants, we asked the Ieading mathematicians in the field of the theory of reproducing kern eIs to submit papers.
Автор: Tetsuya Hoya Название: Artificial Mind System ISBN: 3642424724 ISBN-13(EAN): 9783642424724 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Artificial Mind System" exposes the reader to a broad spectrum of interesting areas in general brain science and mind-oriented studies. With a view that "the mind is a system always evolving", ideas inspired by many branches of studies related to brain science are integrated within the text, i.e.
Автор: Shi Yu; L?on-Charles Tranchevent; Bart Moor; Yves Название: Kernel-based Data Fusion for Machine Learning ISBN: 3642267513 ISBN-13(EAN): 9783642267512 Издательство: Springer Рейтинг: Цена: 17096.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data fusion problems arise in many different fields. This book provides a specific introduction to solve data fusion problems using support vector machines. The reader will require a good knowledge of data mining, machine learning and linear algebra.
Описание: General Notation.- 1 Prologue: The Algebraic Approach to Quantum Theories.- 2 ∗-Algebras.- 3 O*-Algebras.- 4 ∗-Representations.- 5 Positive Linear Functionals.- 6 Representations of Tensor Algebras.- 7 Integrable Representations of Commutative ∗-Algebras.- 8 The Weyl Algebra and the Canonical Commutation Relation.- 9 Integrable Representations of Enveloping Algebras.- 10 Archimedean Quadratic Modules and Positivstellensдtze.- 11 The Operator Relation XX*=F(X*X).- 12 Induced ∗-Representations.- 13 Well-behaved ∗-Representations.- 14 Representations on Rigged Spaces and Hilbert C*-modules. A Unbounded Operators on Hilbert Space.- B C*-Algebras and Representations.- C Locally Convex Spaces and Separation of Convex Sets.- References.- Symbol Index.- Subject Index.
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