Optimization and Machine Learning: Optimization for Machine Learning and Machine Learning for Optimization

Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine lea...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Rachid Chelouah, Patrick Siarry
Format: Buch
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Rachid Chelouah, Patrick Siarry
description Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine learning, and to demonstrate how to apply them in the fields of engineering. Optimization and Machine Learning presents modern advances in the selection, configuration and engineering of algorithms that rely on machine learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on machine learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated.
format Book
fullrecord <record><control><sourceid>proquest_askew</sourceid><recordid>TN_cdi_askewsholts_vlebooks_9781119902874</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC6889697</sourcerecordid><originalsourceid>FETCH-LOGICAL-a20610-7e3f21c092a5b0fc6b69010d97ac5097a87c8cea4c5e080223abebb6be471b183</originalsourceid><addsrcrecordid>eNpNz01LxDAQBuCIKOq6_8BDPYmHwiRpvo5a1g-o7EW8liQ73a1bk7WpCv56i11EGGZ44eGFOSBnlFJjgGmlD_-H4zEwo7lWAvQJmaf0CgCcCioUPSWXy93QvrXfdmhjyGxYZU_Wb9qAWYW2D21Yn5OjxnYJ5_s7Iy93i-fyIa-W94_lTZVbBpJCrpA3jHowzAoHjZdOGqCwMsp6AePWymuPtvACQQNj3Dp0TjosFHVU8xm5nopt2uJX2sRuSPVnhy7GbaqN0n9PFaO9muyuj-8fmIb6l3kMQ2-7enFbSq2NNGqUF3uJfYfrWE91nEkzDv8BXCFWgA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC6889697</pqid></control><display><type>book</type><title>Optimization and Machine Learning: Optimization for Machine Learning and Machine Learning for Optimization</title><source>Ebook Central - Academic Complete</source><source>O'Reilly Online Learning: Academic/Public Library Edition</source><creator>Rachid Chelouah, Patrick Siarry</creator><creatorcontrib>Rachid Chelouah, Patrick Siarry</creatorcontrib><description>Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine learning, and to demonstrate how to apply them in the fields of engineering. Optimization and Machine Learning presents modern advances in the selection, configuration and engineering of algorithms that rely on machine learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on machine learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated.</description><edition>1st edition</edition><identifier>ISBN: 1119902878</identifier><identifier>ISBN: 9781119902874</identifier><identifier>ISBN: 1789450713</identifier><identifier>ISBN: 9781789450712</identifier><identifier>EISBN: 1119902878</identifier><identifier>EISBN: 9781119902874</identifier><identifier>OCLC: 1298387508</identifier><language>eng</language><publisher>Newark: Wiley</publisher><subject>COMPUTERS ; Mathematical optimization</subject><creationdate>2022</creationdate><tpages>255</tpages><format>255</format><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>307,782,786,788,24787</link.rule.ids></links><search><creatorcontrib>Rachid Chelouah, Patrick Siarry</creatorcontrib><title>Optimization and Machine Learning: Optimization for Machine Learning and Machine Learning for Optimization</title><description>Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine learning, and to demonstrate how to apply them in the fields of engineering. Optimization and Machine Learning presents modern advances in the selection, configuration and engineering of algorithms that rely on machine learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on machine learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated.</description><subject>COMPUTERS</subject><subject>Mathematical optimization</subject><isbn>1119902878</isbn><isbn>9781119902874</isbn><isbn>1789450713</isbn><isbn>9781789450712</isbn><isbn>1119902878</isbn><isbn>9781119902874</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2022</creationdate><recordtype>book</recordtype><recordid>eNpNz01LxDAQBuCIKOq6_8BDPYmHwiRpvo5a1g-o7EW8liQ73a1bk7WpCv56i11EGGZ44eGFOSBnlFJjgGmlD_-H4zEwo7lWAvQJmaf0CgCcCioUPSWXy93QvrXfdmhjyGxYZU_Wb9qAWYW2D21Yn5OjxnYJ5_s7Iy93i-fyIa-W94_lTZVbBpJCrpA3jHowzAoHjZdOGqCwMsp6AePWymuPtvACQQNj3Dp0TjosFHVU8xm5nopt2uJX2sRuSPVnhy7GbaqN0n9PFaO9muyuj-8fmIb6l3kMQ2-7enFbSq2NNGqUF3uJfYfrWE91nEkzDv8BXCFWgA</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Rachid Chelouah, Patrick Siarry</creator><general>Wiley</general><general>John Wiley &amp; Sons, Incorporated</general><general>Wiley-Blackwell</general><scope>YSPEL</scope></search><sort><creationdate>2022</creationdate><title>Optimization and Machine Learning</title><author>Rachid Chelouah, Patrick Siarry</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a20610-7e3f21c092a5b0fc6b69010d97ac5097a87c8cea4c5e080223abebb6be471b183</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2022</creationdate><topic>COMPUTERS</topic><topic>Mathematical optimization</topic><toplevel>online_resources</toplevel><creatorcontrib>Rachid Chelouah, Patrick Siarry</creatorcontrib><collection>Perlego</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rachid Chelouah, Patrick Siarry</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Optimization and Machine Learning: Optimization for Machine Learning and Machine Learning for Optimization</btitle><date>2022</date><risdate>2022</risdate><isbn>1119902878</isbn><isbn>9781119902874</isbn><isbn>1789450713</isbn><isbn>9781789450712</isbn><eisbn>1119902878</eisbn><eisbn>9781119902874</eisbn><abstract>Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine learning, and to demonstrate how to apply them in the fields of engineering. Optimization and Machine Learning presents modern advances in the selection, configuration and engineering of algorithms that rely on machine learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on machine learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated.</abstract><cop>Newark</cop><pub>Wiley</pub><oclcid>1298387508</oclcid><tpages>255</tpages><edition>1st edition</edition></addata></record>
fulltext fulltext
identifier ISBN: 1119902878
ispartof
issn
language eng
recordid cdi_askewsholts_vlebooks_9781119902874
source Ebook Central - Academic Complete; O'Reilly Online Learning: Academic/Public Library Edition
subjects COMPUTERS
Mathematical optimization
title Optimization and Machine Learning: Optimization for Machine Learning and Machine Learning for Optimization
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-05T13%3A51%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_askew&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=book&rft.btitle=Optimization%20and%20Machine%20Learning:%20Optimization%20for%20Machine%20Learning%20and%20Machine%20Learning%20for%20Optimization&rft.au=Rachid%20Chelouah,%20Patrick%20Siarry&rft.date=2022&rft.isbn=1119902878&rft.isbn_list=9781119902874&rft.isbn_list=1789450713&rft.isbn_list=9781789450712&rft_id=info:doi/&rft_dat=%3Cproquest_askew%3EEBC6889697%3C/proquest_askew%3E%3Curl%3E%3C/url%3E&rft.eisbn=1119902878&rft.eisbn_list=9781119902874&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC6889697&rft_id=info:pmid/&rfr_iscdi=true