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Numerical software / Numerical linear algebra / Free statistical software / Statistical classification / Ensemble learning / Relevance vector machine / Shogun / Support vector machine / Basic Linear Algebra Subprograms / Machine learning / Statistics / Computational statistics


Document Date: 2009-08-24 19:08:32

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City

Baltimore / New York / /

Company

MIT Press / Northrop Grumman / Intel / /

Country

United States / /

Facility

Requirements The library / Library The library / /

IndustryTerm

open-source and commercial software / machine learning software / component-based software engineering / versatile tools / cross platform open source software library / kernel-based machine learning algorithms / inner products / kernel algorithms / purpose software development library / software optimization / software components / online anomaly detection / numerical software / sparse kernel clustering algorithms / kernel learning algorithms / generic meta-algorithms / online regression method / learning tools / generic kernel algorithm / /

OperatingSystem

MacOS / Linux / Microsoft Windows / Pegasos / /

Organization

MIT / /

Person

Yaakov Engel / Nathan Srebro / Shai Shalev-Shwartz / Ponnambalam / Bernhard Sch¨olkopf / John C. Platt / Dobb / Davis E. King / Ron Meir / Tobias Glasmachers / Kumaraswamy Ponnambalam / Chung Chang / Anita C. Faul / Thorsten Suttorp / Shie Mannor / Todd Veldhuizen / Christin Sch¨afer / Christian Igel / Verena Heidrich-Meisner / Yoram Singer / Jen Lin / /

Position

author / USA Editor / Major / /

ProgrammingLanguage

R / C / Python / C++ / /

ProvinceOrState

Maryland / New York / /

PublishedMedium

Journal of Machine Learning Research / Lecture Notes in Computer Science / /

Technology

kernel learning algorithms / generic kernel algorithm / Linux / kernel-based machine learning algorithms / Pegasos algorithm / Machine Learning / sparse kernel clustering algorithms / Lua / kernel algorithms / generic meta-algorithms / /

URL

http /

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