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Machine learning / Computing / Artificial intelligence / Spamming / Natural language processing / Anti-spam techniques / Pattern recognition / Naive Bayes classifier / Perceptron / Statistics / Statistical classification / Spam filtering


Spam Filtering using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers D. Sculley, Gabriel M. Wachman, and Carla E. Brodley Department of Computer Science, Tufts University Medford, MA 021
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Company

Neural Information Processing Systems / Cambridge University Press / Neural Networks / PAM / /

Country

Jordan / Slovenia / /

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Facility

Tufts University / Jozef Stefan Institute / /

IndustryTerm

perceptrom algorithm / on-line update / perceptron algorithm / on-line linear classifier / naive inner product / classical algorithm / inner product / possible solution / parameter search / approximate maximal margin classification algorithm / on-line training / data mining / on-line spam filtering / /

MusicAlbum

On-Line / /

Organization

Cambridge University / Carla E. Brodley Department of Computer Science / Jozef Stefan Institute / Tufts University / Department of Intelligent Systems / /

Person

H. Drucker / V / Carla E. Brodley / Gabriel M. Wachman / /

Position

probabilistic model for information storage / /

ProgrammingLanguage

K / /

PublishedMedium

Psychological Review / Journal of Physics A / Machine Learning / Journal of Machine Learning Research / /

Technology

basic Perceptron Algorithm / 3.1 The Perceptron Algorithm The perceptron algorithm / approximate maximal margin classification algorithm / classical algorithm / training algorithm / Learning algorithms / data mining / perceptrom algorithm / machine learning / perceptron algorithm / 3.2 Perceptron Algorithm / /

URL

http /

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