Learn++: An incremental learning algorithm based on psycho-physiological models of learning

    Research output: Contribution to journalConference articlepeer-review

    2 Scopus citations

    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.

    Original languageEnglish (US)
    Pages (from-to)672-675
    Number of pages4
    JournalAnnual Reports of the Research Reactor Institute, Kyoto University
    Volume1
    StatePublished - Dec 1 2001
    Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
    Duration: Oct 25 2001Oct 28 2001

    All Science Journal Classification (ASJC) codes

    • Energy Engineering and Power Technology
    • Mechanical Engineering

    Fingerprint Dive into the research topics of 'Learn++: An incremental learning algorithm based on psycho-physiological models of learning'. Together they form a unique fingerprint.

    Cite this