| Document Date: 2003-02-13 11:56:14
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City Kernel / Bangalore / New York / Washington / DC / Pittsburgh / Falmouth / / Company Neural Information Processing Systems / Neural Networks / MIT Press / LSI / ACM Press / Waibhav Tembe Clairvoyance Corporation / Intelligent Information Systems / Reuters / / Country United States / India / / IndustryTerm analytical solution / on-line learning algorithm / adaptive algorithm / real time / maximum margin solution / dot product / inner/dot product / kernel adatron algorithm / attractive solution / adaptive perceptron algorithm / simpler algorithm / / OperatingSystem Linux / Windows XP / / Organization MIT / IDF / CC SVM / U.S. Government Printing Office / weighted using TF∗IDF / / Person Jesse Montgomery / Victor Sheftel / Morgan Kaufmann / Emilia Stoica / James Shanahan / Norbert Roma / David A. Evans / Jeffrey Bennett / Batch Filtering / Learning Rate (Adatron) / Runs On / / Position editor / MP / Rt / Official / / Product MP / Prob2 / Canon GL2 Camcorder / / ProgrammingLanguage Java / / ProvinceOrState Michigan / Massachusetts / / Technology alpha / RAM / kernel Class Ratio Sampling Strategy Term type Term Ranking Algorithm / The kernel adatron algorithm / Linux / 1 Algorithm / SMO Learning Algorithm / machine learning / Adatron algorithm / SMO algorithms / kernel-Adatron algorithm / Java / adaptive perceptron algorithm / SMO algorithm Decision Variable Learning Algorithm / training algorithm / on-line learning algorithm / much simpler algorithm / adaptive algorithm / SMO algorithm / /
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CLARIT Experiments in Batch Filtering: Term Selection and Threshold Optimization in IR and SVM Filters David A. Evans, James Shanahan, Norbert Roma, Jeffrey Bennett, Victor Sheftel, Emilia Stoica, Jesse Montgomery, David