GetPortalImpactFactorByIdResp(projectId=1, id=9a136705, cover=https://img.medsci.cn/images/journal/cover/2021/nzm_202109271315413810.jpg, fullname=JOURNAL OF MACHINE LEARNING RESEARCH, abbr=J MACH LEARN RES, pyear=2001, frequence=Bimonthly, articleNumbers=8429, citedSelf2015=5.8, acceptanceRate=null, submissionToAcceptance=null, averageReviewTime=平均2月, reviewFee=null, pageFee=null, publishedRatio=2023年中国人文章占该期刊总数量暂无数据 (2022年为100.00%), issn=1532-4435, greenSci=https://www.greensci.net/search?kw=1532-4435, scijournal=https://www.scijournal.org/impact-factor-of-J-MACH-LEARN-RES.shtml, medsciHotlightString=null, medsciHotlightRealtime=2.714, medsciHotlight=4.349, medsciHotlight5year=3.76019, citescore=6.8, hIndex=230, impactFactor=6.0, orgnization=Microtome Publishing, orgnizationUrl=http://mitpress.mit.edu, country=United States, countryCn=美国, isOa=1, isOaString=是, sciScie=Science Citation Index Expanded|Current Contents - Engineering, Computing &amp; Technology, bigclassCas=工程技术 2区, smallclassCas=工程技术 3 区, website=http://jmlr.org/, websiteHits=1908, guideForAuthor=null, guideForAuthorHits=1, submitWebsite=https://jmlr.org/author-info.html, submitWebsiteHits=1545, content=Published by MIT Press. ISSN: 1532-4435.<br /><br />The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. JMLR seeks previously unpublished papers that contain:new algorithms with empirical, theoretical, psychological, or biological justification; experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems; accounts of applications of existing techniques that shed light on the strengths and weaknesses of the methods; formalization of new learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks; development of new analytical frameworks that advance theoretical studies of practical learning methods; computational models of data from natural learning systems at the behavioral or neural level; or extremely well-written surveys of existing work., totalCites=50577, brief=J MACH LEARN RES杂志工程技术行业，“<strong><a target="_blank" href="/sci/index.do?smallclass=自动化与控制系统" >自动化与控制系统</a></strong>”子行业的顶级杂志, articleType=该刊全部是论著，可能不接收综述类等文章, medsciHeat=黑红, medsciComment=J MACH LEARN RES在该细分领域可能是一流杂志，可能是创刊时间短或不是热门学科，整体来说，国内学者关注度仍然不够。对于投稿而言，建议多向"&abbr&"投稿，当然期刊也应该加强品牌宣传。, medsciExplanation=MedSci期刊指数是根据中国科研工作者（含医学临床，基础，生物，化学等学科）对SCI杂志的认知度，熟悉程度，以及投稿的量等众多指标综合评定而成。当然，具体的，您还可以结合“<a href='https://www.medsci.cn/sci/submit.do?id=9a136705'>投稿经验系统</a>”，进行综合判断，这更是大家的实战经验，值得分享和参考。<br> 注意，上述MedSci期刊指数采用MedSci专利技术，由计算机系统自动计算，并给出建议，存在不准确的可能，仅供您投稿选择杂志时参考。, tags=[ImpactFactorTagDto(id=41628, tagName=machine learning, createdHits=1)], citeScoreList=[GetImpactFactorCiteScoreListResponse(year=2016, citescore=3.09), GetImpactFactorCiteScoreListResponse(year=2017, citescore=4.56), GetImpactFactorCiteScoreListResponse(year=2018, citescore=4.76), GetImpactFactorCiteScoreListResponse(year=2019, citescore=9.3), GetImpactFactorCiteScoreListResponse(year=2020, citescore=6.8)], medsciIndexList=[GetImpactFactorMedsciIndexListResponse(year=2020, medsciHotlight=3.78), GetImpactFactorMedsciIndexListResponse(year=2021, medsciHotlight=4.071), GetImpactFactorMedsciIndexListResponse(year=2022, medsciHotlight=3.631), GetImpactFactorMedsciIndexListResponse(year=2023, medsciHotlight=2.966), GetImpactFactorMedsciIndexListResponse(year=2024, medsciHotlight=2.714)], citeScoreGradeList=[GetImpactFactorCiteScoreGradeResponse(smallClass=Mathematics - Statistics and Probability , rank=7/206), GetImpactFactorCiteScoreGradeResponse(smallClass=Computer Science - Software , rank=39/360), GetImpactFactorCiteScoreGradeResponse(smallClass=Computer Science - Artificial Intelligence , rank=22/189), GetImpactFactorCiteScoreGradeResponse(smallClass=Engineering - Control and Systems Engineering , rank=27/232)], totalJcrAreaList=[GetImpactFactorCiteScoreGradeResponse(smallClass=AUTOMATION & CONTROL SYSTEMS, rank=Q1), GetImpactFactorCiteScoreGradeResponse(smallClass=COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, rank=Q1)], pmcUrl=https://www.ncbi.nlm.nih.gov/nlmcatalog?term=1532-4435[ISSN], pubmedUrl=https://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=JOURNAL OF MACHINE LEARNING RESEARCH[ta], article_number=57, article_number_cn=4, earlyWarning=null, linkOutUrl=null, isJournalMember=false, unscrambleContent=null, dayViewCount=false, endexampletyle=暂无数据)