| Document Date: 2007-05-10 17:49:31
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City El Segundo / Neville / New York / / Company COM Fetch Technologies Inc. / / Country Jordan / / Facility EDU New York University / New York University / / IndustryTerm classification algorithm / telephone accounts / energy function / scientific applications / prior systems / minimum energy configuration / mincut algorithms / low-energy state / transaction networks / communications records / possible systems / image processing / networkflow algorithms / univariate networks / relational learning algorithms / polynomial-time mincut algorithms / large networks / nearest-neighbor algorithms / junction-tree algorithm / telephone call-detail records / surveillance networks / telecommunications fraud / web-pages / weighted-voting algorithm / social networks / law enforcement / machine learning applications / multiclass networks / node-centric relational learning algorithms / physical systems / minimum energy configurations / call network / energy / / Organization New York University / U.S. Government / Stern School of Business / / Position Editor / / ProgrammingLanguage Java / / ProvinceOrState New York / California / / PublishedMedium Journal of Machine Learning Research / / Technology junction-tree algorithm / weighted-voting algorithm / nearest-neighbor algorithms / mincut algorithms / polynomial-time mincut algorithms / Java / node-centric relational learning algorithms / gene expression / Machine Learning / classification algorithm / networkflow algorithms / relational learning algorithms / image processing / / URL http /
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Journal of Machine Learning Research Submitted 1/05; Revised 6/06; Published 5/07 Classification in Networked Data: A Toolkit and a Univariate Case Study