Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Hyper Normalisation and Conditioning for Discrete Probability Distributions

Saved in:
Bibliographic Details
Published in:Logical Methods in Computer Science
Format: Online Article RSS Article
Published: 2017
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030187171086336
collection WordPress RSS
FRELIP Feed Integration
container_title Logical Methods in Computer Science
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:6011
institution FRELIP
journal_source_facet Logical Methods in Computer Science
publishDate 2017
publishDateSort 2017
record_format rss_article
spellingShingle Hyper Normalisation and Conditioning for Discrete Probability Distributions
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Hyper Normalisation and Conditioning for Discrete Probability Distributions
title_auth Hyper Normalisation and Conditioning for Discrete Probability Distributions
title_full Hyper Normalisation and Conditioning for Discrete Probability Distributions
title_fullStr Hyper Normalisation and Conditioning for Discrete Probability Distributions
title_full_unstemmed Hyper Normalisation and Conditioning for Discrete Probability Distributions
title_short Hyper Normalisation and Conditioning for Discrete Probability Distributions
title_sort hyper normalisation and conditioning for discrete probability distributions
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url https://doi.org/10.23638/LMCS-13(3:17)2017