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Linear classifier / Classifier / Gain / Boosting methods for object categorization / Random subspace method / Statistics / Statistical classification / Margin classifier


Protocols for Learning Classifiers on Distributed Data Hal Daum´e III Je↵ M. Phillips University of Maryland, CP University of Utah Suresh Venkatasubramanian
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Document Date: 2012-02-28 20:30:06

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File Size: 2,77 MB

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pence / /

Facility

M. Phillips University of Maryland / Utah Avishek Saha University of Utah February / CP University of Utah Suresh Venkatasubramanian University / /

IndustryTerm

basic protocol / sensor networks / linear separator algorithms / communication protocol / computing / overall protocol / learning algorithms / /

Organization

University of Maryland / Phillips University / CP University of Utah / /

Person

Pi / Bob / Alice / Hal Daum / A. Each / /

Position

hB / coordinator / classifier hB / player / sampling-based player / using hB / /

ProgrammingLanguage

D / /

ProvinceOrState

Pennsylvania / Maryland / California / /

Technology

two-party communication protocol / two-party protocol / overall protocol / basic protocol / 6 Algorithm / 5.3 Extending The Basic Protocol / linear separator algorithms / machine learning / two-party algorithm / 4.1 Algorithm / Si protocols / /

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