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Master operation system development. FreeDOS Kernel explains the construction and operation of Pat Villani's DOS-C - a highly portable;
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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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Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;
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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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understanding of working with hardware interrupts and kernel synchronization Key Features Delve into hardware interrupt handling, threaded IRQs;
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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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A Hilbert space embedding of a distribution-in short, a kernel mean embedding-has recently emerged as a powerful tool for machine learning;
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Over 30 recipes to develop custom drivers for your embedded Linux applications. Key Features Use Kernel facilities to develop powerful;
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Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets.The basic principle is that local;
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Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have;
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Reproducing kernel Hilbert spaces is a topic of great current interest for applications in signal processing, communications, and controls;
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Brand-new edition of the comprehensive Linux kernel reference - 40% of material revised. Now updated throughout to cover Linux 2.4.;
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communications, multimedia, and biomedical engineering systems Digital Signal Processing with Kernel Methods reviews the milestones in the mixing;
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An English translation of a seminal book on Sufism from a Shi'i perspective by an eminent Muslim thi;...
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A Guide to Kernel Exploitation: Attacking the Core discusses the theoretical techniques and approaches needed to develop reliable and;
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near-machine precision in the recovery of the modes. The presentation includes a review of generalized additive models, additive kernels;
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of human facial expressions and kernel principal component analysis (kernel PCA) with fractional polynomial power models. A mean vector of features;
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''The Kernel and the Husk'' from Edwin Abbott Abbott. English schoolmaster and theologian, is best known as the author of the mathematical;
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This book provides a unique treatment of an important area of machine learning and answers the question of how kernel methods can be;
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Vergelijkbare producten zoals Kernel Foreign Moons . Ropoporose, CD
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kernel functions. Further, it discusses the statistical properties of estimators and test statistics using asymmetric kernels. The topics;
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the heart of the kernel. The kernel handles all interactions between the CPU and the external world, and determines which programs will share;
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the heart of the kernel. The kernel handles all interactions between the CPU and the external world, and determines which programs will share;
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