Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning series) - Image 1

£67.97

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

Name: Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning series)
Brand: MIT Press
Price: 67.97 GBP
Availability: InStock

Multicolor

Information Systems

It has never been this cheap. We have no record of a lower price.

£68 today · cheaper than every other day in the last 24 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 639 days • 639 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 639 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £72 (323 days, 50.5%)

Price range: £68 - £72

Price levels: 3 different prices over 639 days

Description

A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs―-kernels―for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by the choice of the kernel function and the base algorithm. They are replacing neural networks in a variety of fields, including engineering, information retrieval, and bioinformatics. Learning with Kernels provides an introduction to SVMs and related kernel methods. Although the book begins with the basics, it also includes the latest research. It provides all of the concepts necessary to enable a reader equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy-to-use kernel algorithms and to understand and apply the powerful algorithms that have been developed over the last few years.

Product Specifications

Brand: MIT Press
Colour: Multicolor
Format: paperback
ASIN: 0262536579
Category: Books > Subjects > Computing & Internet > Computer Science > Information Systems
Domain: Amazon UK
Release Date: 05 June 2018
Listed Since: 06 June 2018

Barcode

No barcode data available

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

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

RBPK & EuDiC : A Narrative on SVM Efficiency Improvement

Enhancing Kernel Methods for Pattern Classification: Theories and Implementations

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

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Support Vector Machines Applications

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

Machine Learning: A Practical Approach on the Statistical Learning Theory

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

Springer Support Vector Machines Applications Book

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

CRC Press - Support Vector Machines in Chemistry and Biotech

Kernel Learning Algorithms for Face Recognition

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

Rule Extraction from Support Vector Machines: 80 (Studies in Computational Intelligence, 80)

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

The Nature of Statistical Learning Theory (Information Science and Statistics)

Machine Learning Fundamentals: A Concise Introduction

Machine Learning Fundamentals: A Concise Introduction

Machine Learning: A Constraint-Based Approach

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

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

Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

Gaussian Processes for Machine Learning