PROBABILISM AND PLURALISM IN INDUCTIVE INFERENCE.

Leonard Pitt, Carl H. Smith

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

Abstract

A notion of probabilistic team inductive inference is introduced and compared with both probabilistic inference and team inference. In many cases, but not all, probabilism can be traded for pluralism, and vice versa. Necessary and sufficient conditions are given that determine when a team of deterministic or probabilistic learning machines can be coalesced into a single learning machine. A subtle difference between probabilism and pluralism is revealed.

Original languageEnglish (US)
Title of host publicationConference Record - Asilomar Conference on Circuits, Systems & Computers
PublisherIEEE
Pages346-350
Number of pages5
ISBN (Print)0818608161
StatePublished - Jan 1 1987

Publication series

NameConference Record - Asilomar Conference on Circuits, Systems & Computers
ISSN (Print)0736-5861

ASJC Scopus subject areas

  • Engineering(all)

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