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<title>Machine Learning (journal)</title>

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Machine Learning (journal)

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</style><table class="infobox hproduct"><caption class="infobox-title" style="font-size:125%;">Machine Learning</caption><tbody><tr><td colspan="2" class="infobox-image"></td></tr><tr><th scope="row" class="infobox-label"><a href="Outline_of_academic_disciplines" title="Outline of academic disciplines">Discipline</a></th><td class="infobox-data category" style="text-align:left;"><a href="Machine_learning" title="Machine learning">Machine learning</a></td></tr><tr><th scope="row" class="infobox-label">Language</th><td class="infobox-data" style="text-align:left;">English</td></tr><tr><th colspan="2" class="infobox-header" style="background:#dfc;color:#000;">Publication details</th></tr><tr><th scope="row" class="infobox-label">History</th><td class="infobox-data" style="text-align:left;">1986 to present</td></tr><tr><th scope="row" class="infobox-label"><a href="Academic_publishing" title="Academic publishing">Publisher</a></th><td class="infobox-data" style="text-align:left;"><div style="display: inline-block; line-height: 1.2em; padding: .1em 0;"><a href="Kluwer" class="mw-redirect" title="Kluwer">Kluwer</a>/<a href="Springer_Science%2BBusiness_Media" title="Springer Science+Business Media">Springer</a> (<a href="United_States" title="United States">USA</a>)</div></td></tr><tr><th scope="row" class="infobox-label"><div style="display: inline-block; line-height: 1.2em; padding: .1em 0;"><a href="Impact_factor" title="Impact factor">Impact factor</a></div></th><td class="infobox-data" style="text-align:left;">2.809 (2018)</td></tr><tr><th colspan="2" class="infobox-header" style="background:#dfc;color:#000;">Standard abbreviations <a rel="nofollow" class="external text" href="https://marcinwrochna.github.io/abbrevIso/?search=Machine_Learning">ISO 4</a> (<a rel="nofollow" class="external text" href="http://www.issn.org/services/online-services/access-to-the-ltwa/">alt</a>) · Bluebook (<a rel="nofollow" class="external text" href="https://westerncriminology.org/publications/bluebook-abbreviations/">alt</a>) <a rel="nofollow" class="external text" href="https://www.ncbi.nlm.nih.gov/nlmcatalog?term=1573-0565%5BISSN%5D">NLM</a> (<a rel="nofollow" class="external text" href="https://www.ncbi.nlm.nih.gov/nlmcatalog?term=Machine+Learning%5BJournal%5D">alt</a>) · <a rel="nofollow" class="external text" href="https://mathscinet.ams.org/msnhtml/serials.pdf">MathSciNet</a> (<a rel="nofollow" class="external text" href="https://mathscinet.ams.org/mathscinet/search/journals.html?journalName=1573-0565&Submit=Search">alt</a> )</th></tr><tr><th scope="row" class="infobox-label"><a href="ISO_4" title="ISO 4">ISO 4</a></th><td class="infobox-data identifier" style="text-align:left;">Mach. Learn.</td></tr><tr><th colspan="2" class="infobox-header" style="background:#dfc;color:#000;">Indexing <a rel="nofollow" class="external text" href="https://cassi.cas.org/searching.jsp?searchIn=issns&c=WIy460-R_DY&searchFor=1573-0565">CODEN</a> (<a rel="nofollow" class="external text" href="https://cassi.cas.org/searching.jsp?searchIn=issns&c=WIy460-R_DY&searchFor=">alt</a> · <a rel="nofollow" class="external text" href="https://cassi.cas.org/searching.jsp?searchIn=titles&c=WIy460-R_DY&searchFor=Machine+Learning+%28journal%29">alt2</a>) · <a rel="nofollow" class="external text" href="https://www.jstor.org/journals/15730565">JSTOR</a> (<a rel="nofollow" class="external text" href="https://www.jstor.org/action/showJournals?browseType=title">alt</a>) · <a rel="nofollow" class="external text" href="https://catalog.loc.gov/vwebv/search?searchArg1=1573-0565&argType1=all&searchCode1=KNUM&searchType=2">LCCN</a> (<a rel="nofollow" class="external text" href="https://catalog.loc.gov/vwebv/search?searchArg1=Machine+Learning&argType1=all&searchCode1=KTIL&searchType=2">alt</a>) <a rel="nofollow" class="external text" href="http://miar.ub.edu/issn/1573-0565">MIAR</a> · <a rel="nofollow" class="external text" href="https://www.ncbi.nlm.nih.gov/nlmcatalog?term=1573-0565%5BISSN%5D">NLM</a> (<a rel="nofollow" class="external text" href="https://www.ncbi.nlm.nih.gov/nlmcatalog?term=Machine+Learning%5BJournal%5D">alt</a>) · <a rel="nofollow" class="external text" href="https://www.scopus.com/sources?sortField=citescore&sortDirection=desc&isHiddenField=false&field=issn&issn=1573-0565">Scopus</a> · <a rel="nofollow" class="external text" href="https://managementtools4.wlu.edu/LawJournals/">W&L</a></th></tr><tr><th scope="row" class="infobox-label"><a href="ISSN_(identifier)" class="mw-redirect" title="ISSN (identifier)">ISSN</a></th><td class="infobox-data" style="text-align:left;"><a rel="nofollow" class="external text" href="https://www.worldcat.org/search?fq=x0:jrnl&q=n2:1573-0565">1573-0565</a> </td></tr><tr><th colspan="2" class="infobox-header" style="background:#dfc;color:#000;">Links</th></tr><tr><td colspan="2" class="infobox-full-data" style="text-align:left;">

<ul><li><a rel="nofollow" class="external text" href="https://www.springer.com/west/home/computer/artificial?SGWID=4-147-70-35726603-0">Journal homepage</a></li></ul>

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Machine Learning is a <a href="Peer-review" class="mw-redirect" title="Peer-review">peer-reviewed</a> <a href="Scientific_journal" title="Scientific journal">scientific journal</a>, published since 1986.

In 2001, forty editors and members of the <a href="Editorial_board" title="Editorial board">editorial board</a> of Machine Learning resigned in order to support the <a href="Journal_of_Machine_Learning_Research" title="Journal of Machine Learning Research">Journal of Machine Learning Research</a> (JMLR), saying that in the era of the internet, it was detrimental for researchers to continue publishing their papers in expensive journals with pay-access archives. Instead, they wrote, they supported the model of JMLR, in which authors retained copyright over their papers and archives were freely available on the internet.<a href="#cite_note-1">[1]</a>

Following the mass resignation, <a href="Kluwer" class="mw-redirect" title="Kluwer">Kluwer</a> changed their publishing policy to allow authors to self-archive their papers online after <a href="Peer_Review_Week" title="Peer Review Week">peer-review</a>.<a href="#cite_note-2">[2]</a>

<div class="mw-heading mw-heading2"><h2 id="Abstracting_and_indexing">Abstracting and indexing</h2></div>

The journal is abstracted and indexed in several databases, for example in:<a href="#cite_note-MIAR-3">[3]</a>

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<ul><li><a href="Science_Citation_Index_Expanded" title="Science Citation Index Expanded">Science Citation Index Expanded</a><a href="#cite_note-4">[4]</a></li>

<li><a href="Scopus" title="Scopus">Scopus</a><a href="#cite_note-5">[5]</a></li>

<li><a href="EI_Compendex" class="mw-redirect" title="EI Compendex">EI Compendex</a><a href="#cite_note-6">[6]</a></li>

<li><a href="INSPEC" class="mw-redirect" title="INSPEC">INSPEC</a><a href="#cite_note-7">[7]</a></li>

<div class="mw-heading mw-heading2"><h2 id="Selected_articles">Selected articles</h2></div>

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</style><cite id="CITEREFJ.R._Quinlan1986" class="citation journal cs1">J.R. Quinlan (1986). <a rel="nofollow" class="external text" href="https://doi.org/10.1007%2FBF00116251">"Induction of Decision Trees"</a>. Machine Learning. 1: 81–106. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1007%2FBF00116251">10.1007/BF00116251</a>.</cite></li>

<li><cite id="CITEREFNick_Littlestone1988" class="citation journal cs1">Nick Littlestone (1988). <a rel="nofollow" class="external text" href="https://web.archive.org/web/20220702053628/http://www.cs.utsa.edu/~bylander/cs6243/littlestone1988.pdf">"Learning Quickly When Irrelevant Attributes Abound: A New Linear-threshold Algorithm"</a> (PDF). Machine Learning. 2 (4): 285–318. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1007%2FBF00116827">10.1007/BF00116827</a>. Archived from <a rel="nofollow" class="external text" href="http://www.cs.utsa.edu/~bylander/cs6243/littlestone1988.pdf">the original</a> (PDF) on 2022-07-02. Retrieved 2020-02-22.</cite></li>

<li><cite id="CITEREFJohn_R._Anderson_and_Michael_Matessa1992" class="citation journal cs1">John R. Anderson and Michael Matessa (1992). <a rel="nofollow" class="external text" href="https://doi.org/10.1007%2FBF00994109">"Explorations of an Incremental, Bayesian Algorithm for Categorization"</a>. Machine Learning. 9 (4): 275–308. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1007%2FBF00994109">10.1007/BF00994109</a>.</cite></li>

<li><cite id="CITEREFDavid_Klahr1994" class="citation journal cs1">David Klahr (1994). <a rel="nofollow" class="external text" href="https://doi.org/10.1007%2FBF00993981">"Children, Adults, and Machines as Discovery Systems"</a>. Machine Learning. 14 (3): 313–320. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1007%2FBF00993981">10.1007/BF00993981</a>.</cite></li>

<li><cite id="CITEREFThomas_Dean_and_Dana_Angluin_and_Kenneth_Basye_and_Sean_Engelson_and_Leslie_Kaelbling_and_Evangelos_Kokkevis_and_Oded_Maron1995" class="citation journal cs1">Thomas Dean and Dana Angluin and Kenneth Basye and Sean Engelson and Leslie Kaelbling and Evangelos Kokkevis and Oded Maron (1995). <a rel="nofollow" class="external text" href="https://doi.org/10.1007%2FBF00993822">"Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning"</a>. Machine Learning. 18: 81–108. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1007%2FBF00993822">10.1007/BF00993822</a>.</cite></li>

<li><cite id="CITEREFLuc_De_Raedt_and_Luc_Dehaspe1997" class="citation journal cs1">Luc De Raedt and Luc Dehaspe (1997). <a rel="nofollow" class="external text" href="https://doi.org/10.1023%2FA%3A1007361123060">"Clausal Discovery"</a>. Machine Learning. 26 (2/3): 99–146. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1023%2FA%3A1007361123060">10.1023/A:1007361123060</a>.</cite></li>

<li><cite id="CITEREFC._de_la_Higuera1997" class="citation journal cs1">C. de la Higuera (1997). "Characteristic Sets for Grammatical Inference". Machine Learning. 27: 1–14.</cite></li>

<li><cite id="CITEREFRobert_E._Schapire_and_Yoram_Singer1999" class="citation journal cs1">Robert E. Schapire and Yoram Singer (1999). <a rel="nofollow" class="external text" href="https://doi.org/10.1023%2FA%3A1007614523901">"Improved Boosting Algorithms Using Confidence-rated Predictions"</a>. Machine Learning. 37 (3): 297–336. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1023%2FA%3A1007614523901">10.1023/A:1007614523901</a>.</cite></li>

<li><cite id="CITEREFRobert_E._Schapire_and_Yoram_Singer2000" class="citation journal cs1">Robert E. Schapire and Yoram Singer (2000). <a rel="nofollow" class="external text" href="https://doi.org/10.1023%2FA%3A1007649029923">"BoosTexter: A Boosting-based System for Text Categorization"</a>. Machine Learning. 39 (2/3): 135–168. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1023%2FA%3A1007649029923">10.1023/A:1007649029923</a>.</cite></li>

<li><cite id="CITEREFP._Rossmanith_and_T._Zeugmann2001" class="citation journal cs1">P. Rossmanith and T. Zeugmann (2001). <a rel="nofollow" class="external text" href="https://doi.org/10.1023%2FA%3A1010875913047">"Stochastic Finite Learning of the Pattern Languages"</a>. Machine Learning. 44 (1–2): 67–91. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1023%2FA%3A1010875913047">10.1023/A:1010875913047</a>.</cite></li>

<li><cite id="CITEREFParekhHonavar2001" class="citation journal cs1">Parekh, Rajesh; Honavar, Vasant (2001). <a rel="nofollow" class="external text" href="https://doi.org/10.1023%2FA%3A1010822518073">"Learning DFA from Simple Examples"</a>. Machine Learning. 44 (1/2): 9–35. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1023%2FA%3A1010822518073">10.1023/A:1010822518073</a>.</cite></li>

<li><cite id="CITEREFAyhan_Demiriz_and_Kristin_P._Bennett_and_John_Shawe-Taylor2002" class="citation journal cs1">Ayhan Demiriz and Kristin P. Bennett and John Shawe-Taylor (2002). <a rel="nofollow" class="external text" href="https://doi.org/10.1023%2FA%3A1012470815092">"Linear Programming Boosting via Column Generation"</a>. Machine Learning. 46: 225–254. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1023%2FA%3A1012470815092">10.1023/A:1012470815092</a>.</cite></li>

<li><cite id="CITEREFSimon_Colton_and_Stephen_Muggleton2006" class="citation journal cs1">Simon Colton and Stephen Muggleton (2006). <a rel="nofollow" class="external text" href="http://www.doc.ic.ac.uk/crg/papers/colton_mlj06.pdf">"Mathematical Applications of Inductive Logic Programming"</a> (PDF). Machine Learning. 64 (1–3): 25–64. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1007%2Fs10994-006-8259-x">10.1007/s10994-006-8259-x</a>.</cite></li>

<li><cite id="CITEREFWill_Bridewell_and_Pat_Langley_and_Ljupco_Todorovski_and_Saso_Dzeroski2008" class="citation journal cs1">Will Bridewell and Pat Langley and Ljupco Todorovski and Saso Dzeroski (2008). "Inductive Process Modeling". Machine Learning.</cite></li>

<li><cite id="CITEREFStephen_Muggleton_and_Alireza_Tamaddoni-Nezhad2008" class="citation journal cs1">Stephen Muggleton and Alireza Tamaddoni-Nezhad (2008). <a rel="nofollow" class="external text" href="https://doi.org/10.1007%2Fs10994-007-5029-3">"QG/GA: a stochastic search for Progol"</a>. Machine Learning. 70 (2–3): 121–133. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1007%2Fs10994-007-5029-3">10.1007/s10994-007-5029-3</a>.</cite></li></ul>

<div class="mw-heading mw-heading2"><h2 id="References">References</h2></div>

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<li id="cite_note-1"><a href="#cite_ref-1">^</a> <cite class="citation journal cs1"><a rel="nofollow" class="external text" href="http://sigir.org/files/forum/F2001/sigirFall01Letters.html">"Editorial Board of the Kluwer Journal, Machine Learning: Resignation Letter"</a>. SIGIR Forum. 35 (2). 2001.</cite>

</li>

<li id="cite_note-2"><a href="#cite_ref-2">^</a> <cite id="CITEREFRobin2001" class="citation journal cs1">Robin, Peek (1 December 2001). <a rel="nofollow" class="external text" href="https://web.archive.org/web/20170813010220/https://www.questia.com/magazine/1P3-95801675/machine-learning-s-editorial-board-divided">"Machine Learning's Editorial Board Divided"</a>. Information Today. 18 (11). Archived from <a rel="nofollow" class="external text" href="https://www.questia.com/magazine/1P3-95801675/machine-learning-s-editorial-board-divided">the original</a> on 13 August 2017. Retrieved 12 August 2017.</cite>

</li>

<li id="cite_note-MIAR-3"><a href="#cite_ref-MIAR_3-0">^</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://miar.ub.edu/issn/0885-6125">"Machine Learning"</a>. <a href="MIAR%3A_Information_Matrix_for_the_Analysis_of_Journals" class="mw-redirect" title="MIAR: Information Matrix for the Analysis of Journals">MIAR: Information Matrix for the Analysis of Journals</a>. <a href="University_of_Barcelona" title="University of Barcelona">University of Barcelona</a>. Retrieved 2025-06-18.</cite>

</li>

<li id="cite_note-4"><a href="#cite_ref-4">^</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://link.springer.com/journal/10994">"Machine Learning – Abstracting and indexing"</a>. Springer Nature. Retrieved 2025-06-18.</cite>

</li>

<li id="cite_note-5"><a href="#cite_ref-5">^</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://link.springer.com/journal/10994">"Machine Learning – Abstracting and indexing"</a>. Springer Nature. Retrieved 2025-06-18.</cite>

</li>

<li id="cite_note-6"><a href="#cite_ref-6">^</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://link.springer.com/journal/10994">"Machine Learning – Abstracting and indexing"</a>. Springer Nature. Retrieved 2025-06-18.</cite>

</li>

<li id="cite_note-7"><a href="#cite_ref-7">^</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://link.springer.com/journal/10994">"Machine Learning – Abstracting and indexing"</a>. Springer Nature. Retrieved 2025-06-18.</cite>

</li>

<li id="cite_note-8"><a href="#cite_ref-8">^</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://link.springer.com/journal/10994">"Machine Learning – Abstracting and indexing"</a>. Springer Nature. Retrieved 2025-06-18.</cite>

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