PDF-OnlineLearningandStochasticApproximationsLeonBottouAT&TLabs{ResearchR

Author : debby-jeon | Published Date : 2016-10-07

RevisedversionOctober15th2012 1IntroductionAlmostalloftheearlyworkonLearningSystemsfocusedononlinealgorithmsHebb1949Rosenblatt1957WidrowandHo 1960Amari1967Kohonen1982Intheseearlyday

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "OnlineLearningandStochasticApproximation..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

OnlineLearningandStochasticApproximationsLeonBottouAT&TLabs{ResearchR: Transcript


RevisedversionOctober15th2012 1IntroductionAlmostalloftheearlyworkonLearningSystemsfocusedononlinealgorithmsHebb1949Rosenblatt1957WidrowandHo 1960Amari1967Kohonen1982Intheseearlyday. ch mcaninituberlinde dkosticimdeaorg These authors contributed equally to this work ABSTRACT Tolerating and recovering from link and switch failures are fundamental requirements of most networks includ ing SoftwareDe64257ned Networks SDNs However ins ThisworkwasdoneaspartofasummerinternshipatAT&TLabs-Research.Permissiontomakedigitalorhardcopiesofallorpartofthisworkforpersonalorclassroomuseisgrantedwithoutfeeprovidedthatcopiesarenotmadeordistribut ulatethemariatedistributionofthelargerdataofthethesumofthewtsequalsthenberofelementsintheoriginaldataset.AtheorybasedonaTylorseriesximationtothelikelihoodfunctionsuggeststhatximationstobesmoothmodella 68 65 64 63 62 72 67 66 70 61 69 71 WorkdonewhiletheauthorswereatAT&TLabs-Research.ThisworkislicensedundertheCreativeCommonsAttribution SanjoyDasguptaAT&TLabs WorkdonewhileauthorwasatAT&TLabs

Download Document

Here is the link to download the presentation.
"OnlineLearningandStochasticApproximationsLeonBottouAT&TLabs{ResearchR"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents