Kernelization: Theory of Parameterized Preprocessing - Image 1

£55.35

Cambridge University Press Kernelization: Theory of Parameterized Preprocessing

Name: Kernelization: Theory of Parameterized Preprocessing
Brand: Cambridge University Press
Price: 68.37 GBP
Availability: InStock

Optimisation

Price History & Forecast

Last 77 days • 77 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 77 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £55 (36 days, 46.8%)

Price range: £55 - £68

Price levels: 4 different prices over 77 days

Description

Preprocessing, or data reduction, is a standard technique for simplifying and speeding up computation. Written by a team of experts in the field, this book introduces a rapidly developing area of preprocessing analysis known as kernelization. The authors provide an overview of basic methods and important results, with accessible explanations of the most recent advances in the area, such as meta-kernelization, representative sets, polynomial lower bounds, and lossy kernelization. The text is divided into four parts, which cover the different theoretical aspects of the area: upper bounds, meta-theorems, lower bounds, and beyond kernelization. The methods are demonstrated through extensive examples using a single data set. Written to be self-contained, the book only requires a basic background in algorithmics and will be of use to professionals, researchers and graduate students in theoretical computer science, optimization, combinatorics, and related fields.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1107057760
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Optimisation
Domain: Amazon UK
Release Date: 10 January 2019
Listed Since: 23 June 2018

Barcode

No barcode data available

Cambridge University Press Kernelization: Theory of Parameterized Preprocessing

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Kernel Methods and Machine Learning

Kernel Methods for Pattern Analysis

Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning series)

Data-Variant Kernel Analysis (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Kernel Mode Decomposition and the Programming of Kernels: 8 (Surveys and Tutorials in the Applied Mathematical Sciences, 8)

Kernel-Based Approximation Methods Using Matlab: 19 (Interdisciplinary Mathematical Sciences)

An Introduction to the Theory of Reproducing Kernel Hilbert Spaces: 152 (Cambridge Studies in Advanced Mathematics, Series Number 152)

Kernel Mean Embedding of Distributions: A Review and Beyond (Foundations and Trends in Machine Learning)

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning series)

Kernel Smoothing: Principles, Methods and Applications

Kernel Learning Algorithms for Face Recognition

Matrix Analysis and Entrywise Positivity Preservers: 471 (London Mathematical Society Lecture Note Series, Series Number 471)

Kernel-based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining: 345 (Studies in Computational Intelligence, 345)

The Ubiquitous Heat Kernel (Contemporary Mathematics): Ams Special Session, the Ubiquitous Heat Kernel, October 2-4, 2003, Boulder, Colorado

Kernel-based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining: 345 (Studies in Computational Intelligence, 345)

Reproducing Kernel Hilbert Spaces in Probability and Statistics

Machine Learning: A Constraint-Based Approach

Formal Models of Operating System Kernels

BRIDGING THE GAP BETWEEN GRAPH EDIT DISTANCE AND KERNEL MACHINES: 68 (Series In Machine Perception And Artificial Intelligence)

Enhancing Kernel Methods for Pattern Classification: Theories and Implementations

Heat Kernels and Analysis on Manifolds, Graphs, and Metric Spaces (Contemporary Mathematics): Lecture Notes from a Quarter Program on Heat Kernels, ... April 16-July 13, 2002 Emile Borel Centre of

Regularization, Optimization, Kernels, and Support Vector Machines (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Smoothing Splines: Methods and Applications: 121 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Reproducing Kernel Hilbert Spaces in Probability and Statistics