Matches in SemOpenAlex for { <https://semopenalex.org/work/W2334510217> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W2334510217 abstract "This paper presents a traffic flow estimation method for communication networks using higher order Markov chain and Incremental Gaussian Mixture Model (IGMM). Given the previous and current values of network traffic flow, the optimal prediction under the minimum mean square error criteria is given as the conditional expectation according to the transition probability of Markov chain. Since the transition probability is not known beforehand, IGMM, whose mixtures are updated on-line as traffic flow values become known, is used to instantaneously change the probability density function of mixtures. IGMM with an on-line learning mechanism has lower computational complexity and requires lower memory compared to Gaussian Mixture Model (GMM) which uses batch processing. Numerical experiments using publicly available “Abilene” data-set show that IGMM outperforms GMM, and it is more robust." @default.
- W2334510217 created "2016-06-24" @default.
- W2334510217 creator A5026068372 @default.
- W2334510217 creator A5064137202 @default.
- W2334510217 date "2015-05-01" @default.
- W2334510217 modified "2023-09-30" @default.
- W2334510217 title "Network traffic estimation using Markov chain and Incremental Gaussian Mixture" @default.
- W2334510217 cites W2999389558 @default.
- W2334510217 doi "https://doi.org/10.1109/siu.2015.7130049" @default.
- W2334510217 hasPublicationYear "2015" @default.
- W2334510217 type Work @default.
- W2334510217 sameAs 2334510217 @default.
- W2334510217 citedByCount "5" @default.
- W2334510217 countsByYear W23345102172016 @default.
- W2334510217 countsByYear W23345102172021 @default.
- W2334510217 countsByYear W23345102172023 @default.
- W2334510217 crossrefType "proceedings-article" @default.
- W2334510217 hasAuthorship W2334510217A5026068372 @default.
- W2334510217 hasAuthorship W2334510217A5064137202 @default.
- W2334510217 hasConcept C105795698 @default.
- W2334510217 hasConcept C11413529 @default.
- W2334510217 hasConcept C119857082 @default.
- W2334510217 hasConcept C121332964 @default.
- W2334510217 hasConcept C126255220 @default.
- W2334510217 hasConcept C154945302 @default.
- W2334510217 hasConcept C159886148 @default.
- W2334510217 hasConcept C163716315 @default.
- W2334510217 hasConcept C163836022 @default.
- W2334510217 hasConcept C197055811 @default.
- W2334510217 hasConcept C33923547 @default.
- W2334510217 hasConcept C41008148 @default.
- W2334510217 hasConcept C54907487 @default.
- W2334510217 hasConcept C61224824 @default.
- W2334510217 hasConcept C62520636 @default.
- W2334510217 hasConcept C96810086 @default.
- W2334510217 hasConcept C98763669 @default.
- W2334510217 hasConceptScore W2334510217C105795698 @default.
- W2334510217 hasConceptScore W2334510217C11413529 @default.
- W2334510217 hasConceptScore W2334510217C119857082 @default.
- W2334510217 hasConceptScore W2334510217C121332964 @default.
- W2334510217 hasConceptScore W2334510217C126255220 @default.
- W2334510217 hasConceptScore W2334510217C154945302 @default.
- W2334510217 hasConceptScore W2334510217C159886148 @default.
- W2334510217 hasConceptScore W2334510217C163716315 @default.
- W2334510217 hasConceptScore W2334510217C163836022 @default.
- W2334510217 hasConceptScore W2334510217C197055811 @default.
- W2334510217 hasConceptScore W2334510217C33923547 @default.
- W2334510217 hasConceptScore W2334510217C41008148 @default.
- W2334510217 hasConceptScore W2334510217C54907487 @default.
- W2334510217 hasConceptScore W2334510217C61224824 @default.
- W2334510217 hasConceptScore W2334510217C62520636 @default.
- W2334510217 hasConceptScore W2334510217C96810086 @default.
- W2334510217 hasConceptScore W2334510217C98763669 @default.
- W2334510217 hasLocation W23345102171 @default.
- W2334510217 hasOpenAccess W2334510217 @default.
- W2334510217 hasPrimaryLocation W23345102171 @default.
- W2334510217 hasRelatedWork W1974839821 @default.
- W2334510217 hasRelatedWork W2158997101 @default.
- W2334510217 hasRelatedWork W2159877461 @default.
- W2334510217 hasRelatedWork W2167454844 @default.
- W2334510217 hasRelatedWork W2393764248 @default.
- W2334510217 hasRelatedWork W3021931671 @default.
- W2334510217 hasRelatedWork W3022658609 @default.
- W2334510217 hasRelatedWork W4361981740 @default.
- W2334510217 hasRelatedWork W50519898 @default.
- W2334510217 hasRelatedWork W836676034 @default.
- W2334510217 isParatext "false" @default.
- W2334510217 isRetracted "false" @default.
- W2334510217 magId "2334510217" @default.
- W2334510217 workType "article" @default.