Antoine Bordes, L. Bottou, Ronan Collobert, D. Roth, J. Weston, Luke Zettlemoyer
{"title":"Introduction to the special issue on learning semantics","authors":"Antoine Bordes, L. Bottou, Ronan Collobert, D. Roth, J. Weston, Luke Zettlemoyer","doi":"10.1007/s10994-013-5381-4","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49900,"journal":{"name":"Machine Learning","volume":"10 1","pages":"127 - 131"},"PeriodicalIF":4.3000,"publicationDate":"2013-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Machine Learning","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10994-013-5381-4","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
期刊介绍:
Machine Learning serves as a global platform dedicated to computational approaches in learning. The journal reports substantial findings on diverse learning methods applied to various problems, offering support through empirical studies, theoretical analysis, or connections to psychological phenomena. It demonstrates the application of learning methods to solve significant problems and aims to enhance the conduct of machine learning research with a focus on verifiable and replicable evidence in published papers.