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dc.contributor | Universitat Pompeu Fabra. Departament d'Economia i Empresa |
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dc.contributor.author | Cesana Arlotti, Nicolò, 1981- |
dc.contributor.author | Lugosi, Gábor |
dc.date | 1999-10-01 |
dc.identifier.citation | https://econ-papers.upf.edu/ca/paper.php?id=418 |
dc.identifier.citation | Machine Learning, 43, 3, (2001), pp. 247-264 |
dc.identifier.uri | http://hdl.handle.net/10230/934 |
dc.format | application/pdf |
dc.language.iso | eng |
dc.relation | Economics and Business Working Papers Series; 418 |
dc.rights | L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | universal prediction |
dc.subject | universal coding |
dc.subject | empirical processes |
dc.subject | on-line learning |
dc.subject | metric entropy |
dc.subject | Statistics, Econometrics and Quantitative Methods |
dc.title | Worst-case bounds for the logarithmic loss of predictors |
dc.type | info:eu-repo/semantics/workingPaper |
dc.description.abstract |