SUBLINEAROPTML

Sublinear Optimization for Machine Learning

Coordinatore	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY    more  Organization address address: TECHNION CITY - SENATE BUILDING city: HAIFA postcode: 32000 contact info Titolo: Mr. Nome: Mark Cognome: Davison Email: send email Telefono: +972 4 829 3097 Fax: +972 4 823 2958
Nazionalità Coordinatore	Israel [IL]
Totale costo	100˙000 €
EC contributo	100˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2010-RG
Funding Scheme	MC-IRG
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-03-01   -   2015-02-28

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY  Organization address address: TECHNION CITY - SENATE BUILDING city: HAIFA postcode: 32000 contact info Titolo: Mr. Nome: Mark Cognome: Davison Email: send email Telefono: +972 4 829 3097 Fax: +972 4 823 2958	IL (HAIFA)	coordinator	100˙000.00

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 Obiettivo del progetto (Objective)

'The explosion of data with the expansion of the World Wide Web, social networking and e-commerce is a ripe opportunity for smart data analysis and machine learning on a scale never before encountered. In many applications, making even a few passes over the data is prohibitive. Our research goal is to develop sublinear time optimization algorithms for data analysis and machine learning, i.e. algorithms that do not observe all the data even once, and yet return a provably correct solution with high probability.

Previous research of the PI, conducted mainly at Princeton University and IBM Research, has produced promising preliminary results. This proposal aims to expand this line of research at the host institution.'