Matches in SemOpenAlex for { <https://semopenalex.org/work/W2920953012> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2920953012 endingPage "17" @default.
- W2920953012 startingPage "1" @default.
- W2920953012 abstract "We are living in a world progressively driven by data. Besides the issue that big data cannot be entirely stored in the main memory as required by traditional offline learning methods, the problem of learning data that can only be collected over time is also very prevalent. Consequently, there is a need of online methods which can handle sequentially arriving data and offer the same accuracy as offline methods. In this paper, we introduce a new lossless online Bayesian-based classifier which uses the arriving data in a 1-by-1 manner and discards each data right after use. The lossless property of our proposed method guarantees that it can reach the same prediction performance as its offline counterpart regardless of the incremental training order. Experimental results demonstrate its superior performance over many well-known state-of-the-art online learning methods in the literature." @default.
- W2920953012 created "2019-03-22" @default.
- W2920953012 creator A5046669943 @default.
- W2920953012 creator A5046941318 @default.
- W2920953012 creator A5089273641 @default.
- W2920953012 creator A5091254555 @default.
- W2920953012 date "2019-07-01" @default.
- W2920953012 modified "2023-09-24" @default.
- W2920953012 title "A lossless online Bayesian classifier" @default.
- W2920953012 cites W1966771059 @default.
- W2920953012 cites W2012715465 @default.
- W2920953012 cites W2036714085 @default.
- W2920953012 cites W2040870580 @default.
- W2920953012 cites W2106052345 @default.
- W2920953012 cites W2133632100 @default.
- W2920953012 cites W2151097342 @default.
- W2920953012 cites W2165466912 @default.
- W2920953012 cites W2462940117 @default.
- W2920953012 cites W2604457090 @default.
- W2920953012 cites W2624470268 @default.
- W2920953012 cites W843551813 @default.
- W2920953012 doi "https://doi.org/10.1016/j.ins.2019.03.031" @default.
- W2920953012 hasPublicationYear "2019" @default.
- W2920953012 type Work @default.
- W2920953012 sameAs 2920953012 @default.
- W2920953012 citedByCount "7" @default.
- W2920953012 countsByYear W29209530122019 @default.
- W2920953012 countsByYear W29209530122021 @default.
- W2920953012 countsByYear W29209530122022 @default.
- W2920953012 crossrefType "journal-article" @default.
- W2920953012 hasAuthorship W2920953012A5046669943 @default.
- W2920953012 hasAuthorship W2920953012A5046941318 @default.
- W2920953012 hasAuthorship W2920953012A5089273641 @default.
- W2920953012 hasAuthorship W2920953012A5091254555 @default.
- W2920953012 hasBestOaLocation W29209530122 @default.
- W2920953012 hasConcept C107673813 @default.
- W2920953012 hasConcept C119857082 @default.
- W2920953012 hasConcept C12267149 @default.
- W2920953012 hasConcept C124101348 @default.
- W2920953012 hasConcept C153180895 @default.
- W2920953012 hasConcept C154945302 @default.
- W2920953012 hasConcept C41008148 @default.
- W2920953012 hasConcept C52001869 @default.
- W2920953012 hasConcept C78548338 @default.
- W2920953012 hasConcept C81081738 @default.
- W2920953012 hasConcept C95623464 @default.
- W2920953012 hasConceptScore W2920953012C107673813 @default.
- W2920953012 hasConceptScore W2920953012C119857082 @default.
- W2920953012 hasConceptScore W2920953012C12267149 @default.
- W2920953012 hasConceptScore W2920953012C124101348 @default.
- W2920953012 hasConceptScore W2920953012C153180895 @default.
- W2920953012 hasConceptScore W2920953012C154945302 @default.
- W2920953012 hasConceptScore W2920953012C41008148 @default.
- W2920953012 hasConceptScore W2920953012C52001869 @default.
- W2920953012 hasConceptScore W2920953012C78548338 @default.
- W2920953012 hasConceptScore W2920953012C81081738 @default.
- W2920953012 hasConceptScore W2920953012C95623464 @default.
- W2920953012 hasLocation W29209530121 @default.
- W2920953012 hasLocation W29209530122 @default.
- W2920953012 hasLocation W29209530123 @default.
- W2920953012 hasOpenAccess W2920953012 @default.
- W2920953012 hasPrimaryLocation W29209530121 @default.
- W2920953012 hasRelatedWork W1524612731 @default.
- W2920953012 hasRelatedWork W1599577651 @default.
- W2920953012 hasRelatedWork W2016517455 @default.
- W2920953012 hasRelatedWork W2035933607 @default.
- W2920953012 hasRelatedWork W2149078746 @default.
- W2920953012 hasRelatedWork W2508925980 @default.
- W2920953012 hasRelatedWork W2961085424 @default.
- W2920953012 hasRelatedWork W4205958290 @default.
- W2920953012 hasRelatedWork W4280611221 @default.
- W2920953012 hasRelatedWork W4316082230 @default.
- W2920953012 hasVolume "489" @default.
- W2920953012 isParatext "false" @default.
- W2920953012 isRetracted "false" @default.
- W2920953012 magId "2920953012" @default.
- W2920953012 workType "article" @default.