skip to content
Support Vector Machines and Evolutionary Algorithms for Classification : Single or Together? Preview this item
ClosePreview this item
Checking...

Support Vector Machines and Evolutionary Algorithms for Classification : Single or Together?

Author: Catalin Stoean; Ruxandra Stoean
Publisher: Cham : Springer, 2014.
Series: Intelligent Systems Reference Library, 69
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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 'masked hero' be made more  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Catalin Stoean; Ruxandra Stoean
ISBN: 9783319069418 3319069411
OCLC Number: 882944358
Description: Online-Ressource (XVI, 122 Seiten 31 Illustrationen, online resource).
Series Title: Intelligent Systems Reference Library, 69
Responsibility: by Catalin Stoean, Ruxandra Stoean.

Abstract:

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 'masked hero' 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 achievinghigh accuracy, comprehensibility, reasonable runtime as well as unconstrained performance.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.

Similar Items

Related Subjects:(2)

Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/882944358> # Support Vector Machines and Evolutionary Algorithms for Classification : Single or Together?
    a schema:Book, schema:MediaObject, schema:CreativeWork ;
    library:oclcnum "882944358" ;
    library:placeOfPublication <http://experiment.worldcat.org/entity/work/data/1892835510#Place/cham> ; # Cham
    schema:about <http://dewey.info/class/006.3/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/1892835510#Topic/artificial_intelligence> ; # Artificial intelligence
    schema:about <http://experiment.worldcat.org/entity/work/data/1892835510#Topic/engineering> ; # Engineering
    schema:bookFormat schema:EBook ;
    schema:contributor <http://experiment.worldcat.org/entity/work/data/1892835510#Person/stoean_ruxandra> ; # Ruxandra Stoean
    schema:creator <http://experiment.worldcat.org/entity/work/data/1892835510#Person/stoean_catalin> ; # Catalin Stoean
    schema:datePublished "2014" ;
    schema:description "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 'masked hero' 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 achievinghigh accuracy, comprehensibility, reasonable runtime as well as unconstrained performance." ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/1892835510> ;
    schema:inLanguage "en" ;
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/1892835510#Series/intelligent_systems_reference_library> ; # Intelligent Systems Reference Library ;
    schema:name "Support Vector Machines and Evolutionary Algorithms for Classification : Single or Together?" ;
    schema:productID "882944358" ;
    schema:publication <http://www.worldcat.org/title/-/oclc/882944358#PublicationEvent/cham_springer_2014> ;
    schema:publisher <http://experiment.worldcat.org/entity/work/data/1892835510#Agent/springer> ; # Springer
    schema:url <http://dx.doi.org/10.1007/978-3-319-06941-8> ;
    schema:url <http://swbplus.bsz-bw.de/bsz407557172cov.htm> ;
    schema:workExample <http://worldcat.org/isbn/9783319069418> ;
    schema:workExample <http://dx.doi.org/10.1007/978-3-319-06941-8> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/882944358> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/1892835510#Person/stoean_catalin> # Catalin Stoean
    a schema:Person ;
    schema:familyName "Stoean" ;
    schema:givenName "Catalin" ;
    schema:name "Catalin Stoean" ;
    .

<http://experiment.worldcat.org/entity/work/data/1892835510#Person/stoean_ruxandra> # Ruxandra Stoean
    a schema:Person ;
    schema:familyName "Stoean" ;
    schema:givenName "Ruxandra" ;
    schema:name "Ruxandra Stoean" ;
    .

<http://experiment.worldcat.org/entity/work/data/1892835510#Series/intelligent_systems_reference_library> # Intelligent Systems Reference Library ;
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/882944358> ; # Support Vector Machines and Evolutionary Algorithms for Classification : Single or Together?
    schema:name "Intelligent Systems Reference Library ;" ;
    .

<http://experiment.worldcat.org/entity/work/data/1892835510#Topic/artificial_intelligence> # Artificial intelligence
    a schema:Intangible ;
    schema:name "Artificial intelligence" ;
    .

<http://worldcat.org/isbn/9783319069418>
    a schema:ProductModel ;
    schema:isbn "3319069411" ;
    schema:isbn "9783319069418" ;
    .

<http://www.worldcat.org/title/-/oclc/882944358>
    a genont:InformationResource, genont:ContentTypeGenericResource ;
    schema:about <http://www.worldcat.org/oclc/882944358> ; # Support Vector Machines and Evolutionary Algorithms for Classification : Single or Together?
    schema:dateModified "2018-07-13" ;
    void:inDataset <http://purl.oclc.org/dataset/WorldCat> ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.