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Paperback - REV
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"Understanding the Linux Kernel" helps readers understand how Linux performs best and how it meets the challenge of different environments. The authors introduce each topic ... More
Paperback - Level: Intermediate to Advanced
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Following an overview of the design, implementation, and interfaces of the Linux kernel, a senior kernel engineer/open source hacker provides updated theoretical and applied ... More
Textbook Hardcover - New Edition
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A comprehensive introduction to this recent method for machine learning and data mining. More
Hardcover - 1ST
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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 averaging or smoothing is performed with ... More
Paperback - REV
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Hardcover
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The purpose of the text is to provide a complete, self-contained development of the trace formula and theta inversion formula for SL(2,Z[i])\SL(2,C). Unlike other treatments ... More
Hardcover
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This book gives for the first time a self-contained and unified approach to holomorphic Morse inequalities and the asymptotic expansion of the Bergman kernel on manifolds by ... More
Textbook Paperback - New Edition
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The authoritative guide to the IA-64 Linux kernel implementation. Authoritative and complete description of the Linux kernel for IA-64/IPF (Itanium Processor Family) Provides ... More
Hardcover
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Kernel Based Algorithms for Mining Huge Data Sets is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book ... More
Hardcover
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"This book presents an extensive introduction to the field of kernel methods and real world applications. The book is organized in four parts: the first is an introductory ... More
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