Comparison of Instance Selection Algorithms II. Results and Comments
This paper is an continuation of the accompanying paper with the same main title. The first paper reviewed instance selection algorithms, here results of empirical comparison and comments are presented. Several test were performed mostly on benchmark data sets from the machine learning repository at...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buchkapitel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 585 |
---|---|
container_issue | |
container_start_page | 580 |
container_title | |
container_volume | 3070 |
creator | Grochowski, Marek Jankowski, Norbert |
description | This paper is an continuation of the accompanying paper with the same main title. The first paper reviewed instance selection algorithms, here results of empirical comparison and comments are presented. Several test were performed mostly on benchmark data sets from the machine learning repository at UCI. Instance selection algorithms were tested with neural networks and machine learning algorithms. |
doi_str_mv | 10.1007/978-3-540-24844-6_87 |
format | Book Chapter |
fullrecord | <record><control><sourceid>proquest_pasca</sourceid><recordid>TN_cdi_pascalfrancis_primary_15852390</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC3088629_93_604</sourcerecordid><originalsourceid>FETCH-LOGICAL-c433t-95926182d5dad744119740591c688e82502a0cf1c230c933d2946d8f5df7fe233</originalsourceid><addsrcrecordid>eNpFkElPwzAQhc0qotJ_wCEXji5jj5PYx6pskSohsZwt4zhtIEux0wP_HneRmMtIb94bzXyE3DCYMYDiThWSIs0EUC6kEDTXsjgh0yhjFPdafkoSljNGEYU6-59xxlGckwQQOFWFwEuSqGiRoIS6ItMQviAWg5jFhNwvhm5jfBOGPh3qtOzDaHrr0jfXOjs2UZ23q8E347oLaVnO0lcXtu0YUtNXacx2rh_DNbmoTRvc9Ngn5OPx4X3xTJcvT-VivqRWII5UZYrnTPIqq0xVCMFYvA8yxWwupZM8A27A1sxyBKsQK65EXsk6q-qidhxxQm4PezcmWNPWPp7aBL3xTWf8r2aZzDgqiD5-8IU46lfO689h-A6agd7h1ZGVRh1p6T1KvcMbQ3hc7oefrQujdruUjQ9609q12YzOB40gZc6VVqhzEPgHDjp16g</addsrcrecordid><sourcetype>Index Database</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype><pqid>EBC3088629_93_604</pqid></control><display><type>book_chapter</type><title>Comparison of Instance Selection Algorithms II. Results and Comments</title><source>Springer Books</source><creator>Grochowski, Marek ; Jankowski, Norbert</creator><contributor>Tadeusiewicz, Ryszard ; Siekmann, Jörg ; Rutkowski, Leszek ; Zadeh, Lotfi A ; Rutkowski, Leszek ; Siekmann, Jörg H. ; Zadeh, Lotfi A. ; Tadeusiewicz, Ryszard</contributor><creatorcontrib>Grochowski, Marek ; Jankowski, Norbert ; Tadeusiewicz, Ryszard ; Siekmann, Jörg ; Rutkowski, Leszek ; Zadeh, Lotfi A ; Rutkowski, Leszek ; Siekmann, Jörg H. ; Zadeh, Lotfi A. ; Tadeusiewicz, Ryszard</creatorcontrib><description>This paper is an continuation of the accompanying paper with the same main title. The first paper reviewed instance selection algorithms, here results of empirical comparison and comments are presented. Several test were performed mostly on benchmark data sets from the machine learning repository at UCI. Instance selection algorithms were tested with neural networks and machine learning algorithms.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540221234</identifier><identifier>ISBN: 3540221239</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540248446</identifier><identifier>EISBN: 3540248447</identifier><identifier>DOI: 10.1007/978-3-540-24844-6_87</identifier><identifier>OCLC: 934980949</identifier><identifier>LCCallNum: Q334-342</identifier><language>eng</language><publisher>Germany: Springer Berlin / Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Exact sciences and technology ; Instance Selection ; Learn Vector Quantization ; Learning and adaptive systems ; Neighbor Rule ; Selection Algorithm ; Unseen Data</subject><ispartof>Artificial Intelligence and Soft Computing - ICAISC 2004, 2004, Vol.3070, p.580-585</ispartof><rights>Springer-Verlag Berlin Heidelberg 2004</rights><rights>2004 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c433t-95926182d5dad744119740591c688e82502a0cf1c230c933d2946d8f5df7fe233</citedby><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://ebookcentral.proquest.com/covers/3088629-l.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/978-3-540-24844-6_87$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/978-3-540-24844-6_87$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>310,311,780,781,785,790,791,794,4051,4052,27930,38260,41447,42516</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15852390$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Tadeusiewicz, Ryszard</contributor><contributor>Siekmann, Jörg</contributor><contributor>Rutkowski, Leszek</contributor><contributor>Zadeh, Lotfi A</contributor><contributor>Rutkowski, Leszek</contributor><contributor>Siekmann, Jörg H.</contributor><contributor>Zadeh, Lotfi A.</contributor><contributor>Tadeusiewicz, Ryszard</contributor><creatorcontrib>Grochowski, Marek</creatorcontrib><creatorcontrib>Jankowski, Norbert</creatorcontrib><title>Comparison of Instance Selection Algorithms II. Results and Comments</title><title>Artificial Intelligence and Soft Computing - ICAISC 2004</title><description>This paper is an continuation of the accompanying paper with the same main title. The first paper reviewed instance selection algorithms, here results of empirical comparison and comments are presented. Several test were performed mostly on benchmark data sets from the machine learning repository at UCI. Instance selection algorithms were tested with neural networks and machine learning algorithms.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Instance Selection</subject><subject>Learn Vector Quantization</subject><subject>Learning and adaptive systems</subject><subject>Neighbor Rule</subject><subject>Selection Algorithm</subject><subject>Unseen Data</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540221234</isbn><isbn>3540221239</isbn><isbn>9783540248446</isbn><isbn>3540248447</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2004</creationdate><recordtype>book_chapter</recordtype><recordid>eNpFkElPwzAQhc0qotJ_wCEXji5jj5PYx6pskSohsZwt4zhtIEux0wP_HneRmMtIb94bzXyE3DCYMYDiThWSIs0EUC6kEDTXsjgh0yhjFPdafkoSljNGEYU6-59xxlGckwQQOFWFwEuSqGiRoIS6ItMQviAWg5jFhNwvhm5jfBOGPh3qtOzDaHrr0jfXOjs2UZ23q8E347oLaVnO0lcXtu0YUtNXacx2rh_DNbmoTRvc9Ngn5OPx4X3xTJcvT-VivqRWII5UZYrnTPIqq0xVCMFYvA8yxWwupZM8A27A1sxyBKsQK65EXsk6q-qidhxxQm4PezcmWNPWPp7aBL3xTWf8r2aZzDgqiD5-8IU46lfO689h-A6agd7h1ZGVRh1p6T1KvcMbQ3hc7oefrQujdruUjQ9609q12YzOB40gZc6VVqhzEPgHDjp16g</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Grochowski, Marek</creator><creator>Jankowski, Norbert</creator><general>Springer Berlin / Heidelberg</general><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>FFUUA</scope><scope>IQODW</scope></search><sort><creationdate>2004</creationdate><title>Comparison of Instance Selection Algorithms II. Results and Comments</title><author>Grochowski, Marek ; Jankowski, Norbert</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c433t-95926182d5dad744119740591c688e82502a0cf1c230c933d2946d8f5df7fe233</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Instance Selection</topic><topic>Learn Vector Quantization</topic><topic>Learning and adaptive systems</topic><topic>Neighbor Rule</topic><topic>Selection Algorithm</topic><topic>Unseen Data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Grochowski, Marek</creatorcontrib><creatorcontrib>Jankowski, Norbert</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grochowski, Marek</au><au>Jankowski, Norbert</au><au>Tadeusiewicz, Ryszard</au><au>Siekmann, Jörg</au><au>Rutkowski, Leszek</au><au>Zadeh, Lotfi A</au><au>Rutkowski, Leszek</au><au>Siekmann, Jörg H.</au><au>Zadeh, Lotfi A.</au><au>Tadeusiewicz, Ryszard</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Comparison of Instance Selection Algorithms II. Results and Comments</atitle><btitle>Artificial Intelligence and Soft Computing - ICAISC 2004</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2004</date><risdate>2004</risdate><volume>3070</volume><spage>580</spage><epage>585</epage><pages>580-585</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540221234</isbn><isbn>3540221239</isbn><eisbn>9783540248446</eisbn><eisbn>3540248447</eisbn><abstract>This paper is an continuation of the accompanying paper with the same main title. The first paper reviewed instance selection algorithms, here results of empirical comparison and comments are presented. Several test were performed mostly on benchmark data sets from the machine learning repository at UCI. Instance selection algorithms were tested with neural networks and machine learning algorithms.</abstract><cop>Germany</cop><pub>Springer Berlin / Heidelberg</pub><doi>10.1007/978-3-540-24844-6_87</doi><oclcid>934980949</oclcid><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0302-9743 |
ispartof | Artificial Intelligence and Soft Computing - ICAISC 2004, 2004, Vol.3070, p.580-585 |
issn | 0302-9743 1611-3349 |
language | eng |
recordid | cdi_pascalfrancis_primary_15852390 |
source | Springer Books |
subjects | Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Instance Selection Learn Vector Quantization Learning and adaptive systems Neighbor Rule Selection Algorithm Unseen Data |
title | Comparison of Instance Selection Algorithms II. Results and Comments |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-13T20%3A13%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pasca&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=Comparison%20of%20Instance%20Selection%20Algorithms%20II.%20Results%20and%20Comments&rft.btitle=Artificial%20Intelligence%20and%20Soft%20Computing%20-%20ICAISC%202004&rft.au=Grochowski,%20Marek&rft.date=2004&rft.volume=3070&rft.spage=580&rft.epage=585&rft.pages=580-585&rft.issn=0302-9743&rft.eissn=1611-3349&rft.isbn=9783540221234&rft.isbn_list=3540221239&rft_id=info:doi/10.1007/978-3-540-24844-6_87&rft_dat=%3Cproquest_pasca%3EEBC3088629_93_604%3C/proquest_pasca%3E%3Curl%3E%3C/url%3E&rft.eisbn=9783540248446&rft.eisbn_list=3540248447&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC3088629_93_604&rft_id=info:pmid/&rfr_iscdi=true |