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Frequency prediction of functions

  • Kaspars Balodis*
  • , Ilja Kucevalovs
  • , Rusiņš Freivalds
  • *Corresponding author for this work
  • University of Latvia

Research output: Chapter in Book/Report/Conference proceedingConference paperResearchpeer-review

4 Citations (Scopus)

Abstract

Prediction of functions is one of processes considered in inductive inference. There is a "black box" with a given total function f in it. The result of the inductive inference machine F(<f(0), f(1),..,f(n)>) is expected to be f(n+1). Deterministic and probabilistic prediction of functions has been widely studied. Frequency computation is a mechanism used to combine features of deterministic and probabilistic algorithms. Frequency computation has been used for several types of inductive inference, especially, for learning via queries. We study frequency prediction of functions and show that that there exists an interesting hierarchy of predictable classes of functions.

Original languageEnglish
Title of host publicationMathematical and Engineering Methods in Computer Science - 7th International Doctoral Workshop, MEMICS 2011, Revised Selected Papers
Pages76-83
Number of pages8
DOIs
Publication statusPublished - 2012
Event7th International Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, MEMICS 2011 - Lednice, Czech Republic
Duration: 14 Oct 201116 Oct 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7119 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, MEMICS 2011
Country/TerritoryCzech Republic
CityLednice
Period14/10/1116/10/11

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