Conceptual inductive learning. The case of unreliable teachers

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Various algorithms for learning from examples usually suppose more or less reliable sources of information. In this paper, we study the influence of unreliable information sources on the learning process and the recovery possibilities. The problem is analyzed within the frame of the rough set theory which seems to be a suitable means for treating incomplete and uncertain knowledge. We briefly report on the learning system FLORA which is based on this theory.

Original languageEnglish (US)
Pages (from-to)169-182
Number of pages14
JournalArtificial Intelligence
Volume52
Issue number2
DOIs
StatePublished - Dec 1991
Externally publishedYes

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Conceptual inductive learning. The case of unreliable teachers'. Together they form a unique fingerprint.

  • Cite this