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A New Incremental Learning Algorithm with Probabilistic Weights Using Extended Data Expression
Journal of information and communication convergence engineering
New incremental learning algorithm using extended data expression, based on probabilistic compounding, is presented in this paper. Incremental learning algorithm generates an ensemble of weak classifiers and compounds these classifiers to a strong classifier, using a weighted majority voting, to improve classification performance. We introduce new probabilistic weighted majority voting founded on extended data expression. In this case class distribution of the output is used to compounddoi:10.6109/jicce.2013.11.4.258 fatcat:4robubrmobdexcwzsixv5sfeai