About: Variable-order Bayesian network

Facets (new session)
Description
Metadata
Settings
- Rule:
- Inverse Functional Properties:
- "Same As":

About: Variable-order Bayesian network Goto Sponge NotDistinct Permalink

An Entity of Type : yago:Whole100003553, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)
QRcode icon

http://dbpedia.demo.openlinksw.com/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FVariable-order_Bayesian_network&invfp=IFP_OFF&sas=SAME_AS_OFF

Variable-order Bayesian network (VOBN) models provide an important extension of both the Bayesian network models and the variable-order Markov models. VOBN models are used in machine learning in general and have shown great potential in bioinformatics applications.These models extend the widely used position weight matrix (PWM) models, Markov models, and Bayesian network (BN) models.

Attributes	Values
rdf:type	yago:WikicatMarkovModels yago:Assistant109815790 yago:CausalAgent100007347 yago:LivingThing100004258 yago:Model110324560 yago:Object100002684 yago:Organism100004475 yago:Person100007846 yago:PhysicalEntity100001930 yago:Worker109632518 yago:YagoLegalActor yago:YagoLegalActorGeo yago:Whole100003553
rdfs:label	Variable-order Bayesian network (en)
rdfs:comment	Variable-order Bayesian network (VOBN) models provide an important extension of both the Bayesian network models and the variable-order Markov models. VOBN models are used in machine learning in general and have shown great potential in bioinformatics applications.These models extend the widely used position weight matrix (PWM) models, Markov models, and Bayesian network (BN) models. (en)
dcterms:subject	Bayesian networks Markov models
Wikipage page ID	11228012 (xsd:integer)
Wikipage revision ID	1020286520 (xsd:integer)
Link from a Wikipage to another Wikipage	Bayesian networks Bayesian network Machine learning Position weight matrix Markov model Artificial intelligence Markov models Bioinformatics Markov process Markov chain Markov chain Monte Carlo Examples of Markov chains Variable-order Markov models Variable order Markov models Semi-Markov process
Link from a Wikipage to an external page	https://www2.informatik.uni-halle.de:8443/VOMBAT/
sameAs	Variable-order Bayesian network Variable-order Bayesian network Variable-order Bayesian network Variable-order Bayesian network
has abstract	Variable-order Bayesian network (VOBN) models provide an important extension of both the Bayesian network models and the variable-order Markov models. VOBN models are used in machine learning in general and have shown great potential in bioinformatics applications.These models extend the widely used position weight matrix (PWM) models, Markov models, and Bayesian network (BN) models. In contrast to the BN models, where each random variable depends on a fixed subset of random variables, in VOBN models these subsets may vary based on the specific realization of observed variables. The observed realizations are often called the context and, hence, VOBN models are also known as context-specific Bayesian networks.The flexibility in the definition of conditioning subsets of variables turns out to be a real advantage in classification and analysis applications, as the statistical dependencies between random variables in a sequence of variables (not necessarily adjacent) may be taken into account efficiently, and in a position-specific and context-specific manner. (en)
prov:wasDerivedFrom	wikipedia-en:Variable-order_Bayesian_network?oldid=1020286520&ns=0
page length (characters) of wiki page	2995 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Variable-order_Bayesian_network
is Link from a Wikipage to another Wikipage of	Bayesian network List of statistics articles List of things named after Thomas Bayes Outline of machine learning Variable order Bayesian Networks Variable order Bayesian network
is Wikipage redirect of	Variable order Bayesian Networks Variable order Bayesian network
is foaf:primaryTopic of	wikipedia-en:Variable-order_Bayesian_network

Faceted Search & Find service v1.17_git139 as of Feb 29 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (378 GB total memory, 67 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software