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Learning / Neural networks / Support vector machines / Kernel methods / Linear classifier / Artificial neuron / Active learning / Least squares support vector machine / Kernel adaptive filter / Machine learning / Statistics / Statistical classification


Trading Representability for Scalability: Adaptive Multi-Hyperplane Machine for Nonlinear Classification Zhuang Wang Nemanja Djuric
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Document Date: 2013-03-26 23:23:56

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City

Haifa / San Diego / /

Company

MIT Press / Nueral Information Processing Systems / SVM / Siemens / /

Country

United States / Israel / /

Currency

USD / /

/

Facility

Information Sciences Temple University / Temple Univ. / Hebrew University / /

IndustryTerm

large-scale online learning / singlecore processor / regret algorithms / machine learning algorithms / iterative algorithm / online version / parallel processing techniques / online learning / text news text Internet data OCR / attractive learning algorithm / data exploration tool / Online Algorithm Input / online setting / vs. Online First / Online AMM / online sibling / Online AMM AMM / multi-hyperplane algorithms / pervasive computing applications / online and active learning / classification algorithms / stochastic gradient descent algorithm / them popular in applications / resource-constrained applications / learning algorithm / /

OperatingSystem

Linux / Pegasos / /

Organization

MIT / U.S. National Science Foundation / Temple Univ. / Department of Computer and Information Sciences Temple University Philadelphia / Hebrew University / Technion / /

Person

Wang Nemanja Djuric / Slobodan Vucetic / Kai Zhang / /

Position

tackle data sets / Y. Singer / and N. Srebro / design and evaluation General / /

Product

a9a 15.03±0.11 16.44±0.23 15.04±0.07 14.94 14.97 / /

ProvinceOrState

California / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / /

Technology

machine learning algorithms / two multi-hyperplane algorithms / Xeon processor / AMM algorithms / 1 Training Algorithm / Linux / Machine Learning / stochastic gradient descent algorithm / large-scale algorithms / OCR / attractive learning algorithm / 2 Online Algorithm / competing algorithms / classification algorithms / http / Data Mining / iterative algorithm / online AMM algorithms / 512 processors / SGD algorithm / AMM algorithm / proposed AMM algorithm / Logarithmic regret algorithms / parallel processing / singlecore processor / run using a 3.0GHz Intel Xeon processor / /

URL

www.dabi.temple.edu/~vucetic/AMM.html / http /

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