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Transformations, Transmutations, and Kernel Functions, Volume II

Complex analytical methods are a powerful tool for special partial differential equations and systems. To make these methods applicable for;

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Transformations, Transmutations, and Kernel Functions, Volume II

Complex analytical methods are a powerful tool for special partial differential equations and systems. To make these methods applicable for;

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Asymmetric Kernel Smoothing

kernel functions. Further, it discusses the statistical properties of estimators and test statistics using asymmetric kernels. The topics;

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Nonlinear Numerical Analysis in Reproducing Kernel Space

Although the application of reproducing kernel has been explored in different fields in the past twenty to thirty years and the relevant;

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Bridging The Gap Between Graph Edit Distance And Kernel Machines

and is considered one of the most flexible methods for error-tolerant graph matching.This book focuses on graph kernel functions that are;

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Data-Variant Kernel Analysis

Describes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent years This book;

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Advances in Dual Integral Equations

kernel. They examine dual integral equations with Bessel, Legendre, and trigonometric functions as kernel plus dual integral equations involving;

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Calculus II

derivative, the integral and special functions such as exponential functions, logarithms and inverse trigonometric functions. Calculus II covers;

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Kernel Methods for Remote Sensing Data Analysis

Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have;

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A Guide to Kernel Exploitation

A Guide to Kernel Exploitation: Attacking the Core discusses the theoretical techniques and approaches needed to develop reliable and;

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Linux Device Driver Development Cookbook

devices and how to use other kernel internals, such as interrupts, kernel timers, and wait queue, as well as how to manage a device tree, you will;

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Transmutations . YAKUZA, CD

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Transmutations . Fetid Zombie, CD

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Windows NT/2000 Native API Reference

NT to both kernel- and user-mode programs. Ideal for the intermediate and advanced level user- and kernel-mode developers of Windows systems;

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Undigested Kernel

This small volume collects Scott Harrison's black and white artwork.;

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uC/OS-III

embedded design: MicroC/OS-II, The Real-Time Kernel and Embedded Systems Building Blocks, Complete and Ready-to-Use Modules in C, he holds BSEE and;

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Kernel Smoothing

of kernel smoothing in a variety of contexts, considering independent and correlated data e.g. with short-memory and long-memory correlations, as;

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Trigonometric Primer

Inequalities; Inverse Trigonmetric Functions; and, General Facts About Triangles.;

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Approximation on a rectangular grid

and discussed. Chapters II-VI are more closely connected with the constructive theory of functions. The completeness of the coordinate systems;

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Monstrous Adaptations

only a key cultural practice and strategy for filmmakers, but it is also a theme of major importance within horror cinema as a hole. The;

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Monstrous Adaptations

only a key cultural practice and strategy for filmmakers, but it is also a theme of major importance within horror cinema as a hole. The;

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Linux Kernel Development

Linux Kernel Development details the design and implementation of the Linux kernel, presenting the content in a manner that is beneficial;

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The Image of Japan

come. In the 1930s and 40s the image of the kamikaze vividly illustrated the fanaticism and barbarity associated with Japan in World War II;

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The Image of Japan

come. In the 1930s and 40s the image of the kamikaze vividly illustrated the fanaticism and barbarity associated with Japan in World War II;

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Kernel Methods and Estimation of Extreme Value Index

propose two new asymmetric kernels called Birnbaum-Saunders and Lognormal kernels. These two kernels can be applied to the estimation of the;

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Complex Analysis

of holomorphic functions, the Bergman kernel, and unbounded operators on Hilbert spaces to tackle the theory of several variables, in particular the;

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Kernel Learning Algorithms for Face Recognition

kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and;

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