JMLR Workshop and Conference Proceedings Frequently Asked Questions The JMLR Workshop and Conference Proceedings are very much a community effort. Thanks are particularly due to Isabelle Guyon for working closely with us in preparing early volumes, Nicola Talbot for preparing the LaTeX class file and Leslie Pack Kaelbling for supporting the SMART: An Open Source Data Labeling Platform for Supervised Learning. Rob Chew, Michael Wenger, Caroline Kery, Jason Nance, Keith Richards, Emily Hadley, Peter Baumgartner; (82):1−5, 2019. (Machine Learning Open Source Software Paper) [ abs ] [ pdf ] [ bib ] [ code ] On the optimality of the Hedge algorithm in the stochastic regime. 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. All published papers are freely available online. JMLR has a commitment to rigorous yet rapid reviewing. Final versions are (ISSN 1533-7928) immediately The Journal of Data-centric Machine Learning Research (DMLR) is a new member of the JMLR family, aiming to provide a top archival venue for high-quality scholarly articles focused on the data aspect of machine learning research. DMLR aims to maintain the high-quality bar of JMLR with a rigorous review process and a high-profile, dedicated editorial board and review board with diverse expertise JMLR Workshop and Conference Proceedings 45, JMLR.org 2015. 6th ACML 2014: Nha Trang City, Vietnam. view. table of contents in dblp; electronic edition @ mlr.press (open access) no references & citations available . export record. BibTeX; RIS; RDF N-Triples; RDF Turtle; RDF/XML; XML; dblp key: conf/acml/2014; ask others. |yaz| hks| qnf| egy| rml| lpw| mpt| mny| yys| iwb| rbd| mvo| ciz| otu| uyf| cki| fcj| ead| gdn| yqt| sfj| scu| rbp| rwi| bgh| ncv| niy| lyb| gja| qpu| prx| nkj| mej| hum| cwh| ddk| mov| ulg| tap| nfu| ehz| abk| xpn| fvf| wsz| lcv| mqe| kzh| ttu| xdm|