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Statistical classification / Support vector machine / AdaBoost / Perceptron / Margin classifier / Kernel trick / Boosting / Decision stump / Least squares support vector machine / Machine learning / Statistics / Ensemble learning


Novel Distance-Based SVM Kernels for Infinite Ensemble Learning Hsuan-Tien Lin and Ling Li , Learning Systems Group, California Institute of Technology, USA
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Document Date: 2005-11-06 04:48:00


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City

Novel Distance / Cambridge / New York / /

Company

SVM Kernels / Neural Networks / MIT Press / John Wiley & Sons / /

Currency

pence / /

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Facility

Prentice Hall / National Taiwan University / California Institute of Technology / /

IndustryTerm

ensemble learning algorithms / random coordinate descent algorithm / inner product / finite and infinite ensemble learning algorithms / parameter search / on-line learning / valid inner product / deterministic and efficient learning algorithm / good and efficient learning algorithm / learning algorithms / integral inner product / /

Organization

California Institute of Technology / Japanese Society / Caltech Center for Neuromorphic Systems Engineering / National Science Foundation / Comprehensive Foundation / MIT / NTRODUCTION Ensemble / National Taiwan University / /

Person

Yaser Abu-Mostafa / Learning Hsuan-Tien Lin / Kai-Min Chung / Ling Li / Hsuan-Tien Lin / Chang / /

ProvinceOrState

Kansas / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / /

Technology

finite and infinite ensemble learning algorithms / neural network / four ensemble learning algorithms / AdaBoost-like ensemble learning algorithms / random coordinate descent algorithm / Ensemble learning algorithms / Machine Learning / four algorithms / famous ensemble learning algorithms / /

URL

http /

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