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- W2129298764 abstract "An incremental learning algorithm, Learn++, which allows supervised classification algorithms to learn from new data without forgetting previously acquired knowledge, is introduced. Learn++ is based on generating multiple classifiers using strategically chosen distributions of the training data and combining these classifiers through weighted majority voting. Learn++ shares various notions with psycho-physiological models of learning. The Learn++ algorithm, simulation results, and how the algorithm is related to various concepts in psycho-physiological learning models are discussed. The algorithm was tested on a variety of real world and synthetic datasets. Two sets of results are presented for optical handwritten digit recognition and gas sensing." @default.
- W2129298764 created "2016-06-24" @default.
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- W2129298764 date "2005-08-25" @default.
- W2129298764 modified "2023-09-26" @default.
- W2129298764 title "Learn++: an incremental learning algorithm based on psycho-physiological models of learning" @default.
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- W2129298764 doi "https://doi.org/10.1109/iembs.2001.1019025" @default.
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