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Support Vector Machines and Evolutionary Algorithms for Classification Single or Together? by Catalin Stoean, Ruxandra Stoean. (Stoean, Catalin.)
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001 -Identificacion Principal del registro

Identificacion Principal del registro INGC-EBK-000546

003 -Control Number Identifier

Control Number Identifier AR-LpUFI

005 -LAST MODIFICATION DATE

LAST MODIFICATION DATE 20160902113703

007 -CONTROL FIELD

CONTROL FIELD cr nn 008mamaa

008 -CONTROL FIELD

CONTROL FIELD 140515s2014 gw | s |||| 0|eng d

020 -INTERNATIONAL STANDARD BOOK NUMBER

a International Standard Book Number 9783319069418

024 -OTHER STANDARD IDENTIFIER

a Standard number or code 10.1007/978-3-319-06941-8

100 -MAIN ENTRY--PERSONAL NAME

a Personal name Stoean, Catalin.

245 -TITLE STATEMENT

a Title Support Vector Machines and Evolutionary Algorithms for Classification

h Medium [libro electrónico] : ;

b Remainder of title Single or Together? /

c Statement of responsibility, etc by Catalin Stoean, Ruxandra Stoean.

260 -PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)

a Place of publication, distribution, etc Cham :

b Name of publisher, distributor, etc Springer International Publishing :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

300 -PHYSICAL DESCRIPTION

a Extent xvi, 122 p. :

b Other physical details il.

490 -SERIES STATEMENT

a Series statement Intelligent Systems Reference Library,

x International Standard Serial Number 1868-4394 ;

v Volume number/sequential designation 69

505 -FORMATTED CONTENTS NOTE

a Formatted contents note Support Vector Machines -- Evolutionary Algorithms -- Support Vector Machines and Evolutionary Algorithms.

520 -SUMMARY, ETC.

a Summary, etc When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame. Yet, their black box means to do so make the practical users quite circumspect about relying on it, without much understanding of the how and why of its predictions. The question raised in this book is how can this â_~masked heroâ_T be made more comprehensible and friendly to the public: provide a surrogate model for its hidden optimization engine, replace the method completely or appoint a more friendly approach to tag along and offer the much desired explanations? Evolutionary algorithms can do all these and this book presents such possibilities of achieving high accuracy, comprehensibility, reasonable runtime as well as unconstrained performance.

650 -SUBJECT ADDED ENTRY--TOPICAL TERM

a Topical term or geographic name as entry element Engineering.

650 -SUBJECT ADDED ENTRY--TOPICAL TERM

a Topical term or geographic name as entry element Computational intelligence.

650 -SUBJECT ADDED ENTRY--TOPICAL TERM

a Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).

700 -ADDED ENTRY--PERSONAL NAME

a Personal name Stoean, Ruxandra.

856 -ELECTRONIC LOCATION AND ACCESS

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-319-06941-8

942 -Biblioitem information

c item type EBK

929 -Medio de adquisicion

a descripción COM


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