Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC Cascades for large datasets Markus Breitenbach1 , Sander M. Bohte1,2 , and Gregory Z. Grudic1 1 - Z-machine - Document - PDFSEARCH.IO

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	Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC Cascades for large datasets Markus Breitenbach1 , Sander M. Bohte1,2 , and Gregory Z. Grudic1 1 Add to Reading List Document Date: 2004-06-24 11:16:08 Open Document File Size: 363,41 KB Share Result on Facebook Company Neural Networks / Boulder CO / / / Facility University of Colorado / / IndustryTerm nonlinear classification algorithms / individual learning algorithm / day processing time / data mining / linear-time algorithm / sequential sampling algorithm / / MarketIndex set 580000 / / Organization University of Colorado / / ProgrammingLanguage C / / ProvinceOrState Colorado / / Technology 2 processor / Polynomial MPMC Cascade algorithm / neural network / AA algorithm / 3.1 Theoretic Sequential Sampling The PMC algorithm / sequential sampling algorithm / data mining / nonlinear classification algorithms / machine learning / individual learning algorithm / linear-time algorithm / PMC algorithm / MPMC algorithm / / URL http / SocialTag Applied mathematics Linear classifier Ensemble learning Time complexity Support vector machine Algorithm Computational complexity theory Stability Boosting methods for object categorization Machine learning

Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC Cascades for large datasets Markus Breitenbach1 , Sander M. Bohte1,2 , and Gregory Z. Grudic1 1Add to Reading List