Skip to main navigation Skip to search Skip to main content

Uncountable realtime probabilistic classes

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

3 Citations (Scopus)

Abstract

We investigate the minimum cases for realtime probabilistic machines that can define uncountably many languages with bounded error. We show that logarithmic space is enough for realtime PTMs on unary languages. On binary case, we follow the same result for double logarithmic space, which is tight. When replacing the worktape with some limited memories, we can follow uncountable results on unary languages for two counters.

Original languageEnglish
Title of host publicationDescriptional Complexity of Formal Systems - 19th IFIP WG 1.02 International Conference, DCFS 2017, Proceedings
EditorsGiovanni Pighizzini, Cezar Campeanu
PublisherSpringer Verlag
Pages102-113
Number of pages12
ISBN (Print)9783319602516
DOIs
Publication statusPublished - 2017
Event19th International Conference of Descriptional Complexity of Formal Systems, DCFS 2017 - Milano, Italy
Duration: 3 Jul 20175 Jul 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10316 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference of Descriptional Complexity of Formal Systems, DCFS 2017
Country/TerritoryItaly
CityMilano
Period3/07/175/07/17

Fingerprint

Dive into the research topics of 'Uncountable realtime probabilistic classes'. Together they form a unique fingerprint.

Cite this