Multiclass probabilistic classification for support vector machines

Ji Sang Bae, Jong-Ok Kim

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)

    Abstract

    Support Vector Machine (SVM) is one of the most widely used classifiers to categorize observations. This classifier deterministically selects a class that has the largest score for a classification output. In this letter, we propose a multiclass probabilistic classification method that reflects the degree of confidence. We apply the proposed method to age group classification and verify the performance.

    Original languageEnglish
    Pages (from-to)1251-1255
    Number of pages5
    JournalIEICE Transactions on Information and Systems
    VolumeE98D
    Issue number6
    DOIs
    Publication statusPublished - 2015 Jun 1

    Keywords

    • Age-group classification
    • Multiclass classification
    • Probabilistic classification
    • SVM

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Software
    • Artificial Intelligence
    • Hardware and Architecture
    • Computer Vision and Pattern Recognition

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