MULTINOMIAL CONJUNCTOID STATISTICAL LEARNING MACHINES.

Yoshiyasu Takefuji, Robert Jannarone, Yong B. Cho, Tatung Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A statistical learning model called the multinomial conjunctoid is reviewed. Multinomial conjunctoids are based on a well-developed, statistical-decision-theory framework, which guarantees that conjunctoid learning will converge to optimal states over learning trials and the learning will be fast during these trials. In addition, a prototype multinomial conjunctoid module based on CMOS VLSI technology is introduced.

Original languageEnglish
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Pages12-17
Number of pages6
ISBN (Print)0818608617, 9780818608612
DOIs
Publication statusPublished - 1988
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Takefuji, Y., Jannarone, R., Cho, Y. B., & Chen, T. (1988). MULTINOMIAL CONJUNCTOID STATISTICAL LEARNING MACHINES. In Unknown Host Publication Title (pp. 12-17). IEEE. https://doi.org/10.1145/633625.52402