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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Accelerated Classifier Training Using the PSL Cascading Structure
verfasst von : Teo Susnjak, Andre L. C. Barczak
Erschienen in: Advances in Neuro-Information Processing
Verlag: Springer Berlin Heidelberg
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This paper addresses the problem of excessively long classifier training times associated with using the Adaboost algorithm within the framework of a cascade of boosted ensembles (CoBE). We present new test results confirming the acceleration of the training phase and the robustness of the
Parallel
Strong
classifier within the same
Layer
(PSL) training structure recently proposed by [1]. The findings demonstrate a speed up of an order of magnitude over the current training methods without a compromise in accuracy. We also present a modified version of the PSL training structure that further decreases the duration of the training phase while preserving accuracy.