Matches in SemOpenAlex for { <https://semopenalex.org/work/W4301181806> ?p ?o ?g. }
Showing items 1 to 59 of
59
with 100 items per page.
- W4301181806 abstract "Linear predictors are especially useful when the data is high-dimensional and sparse. One of the standard techniques used to train a linear predictor is the Averaged Stochastic Gradient Descent (ASGD) algorithm. We present an efficient implementation of ASGD that avoids dense vector operations. We also describe a translation invariant extension called Centered Averaged Stochastic Gradient Descent (CASGD)." @default.
- W4301181806 created "2022-10-04" @default.
- W4301181806 creator A5022280407 @default.
- W4301181806 date "2016-12-29" @default.
- W4301181806 modified "2023-09-27" @default.
- W4301181806 title "Linear Learning with Sparse Data" @default.
- W4301181806 doi "https://doi.org/10.48550/arxiv.1612.09147" @default.
- W4301181806 hasPublicationYear "2016" @default.
- W4301181806 type Work @default.
- W4301181806 citedByCount "0" @default.
- W4301181806 crossrefType "posted-content" @default.
- W4301181806 hasAuthorship W4301181806A5022280407 @default.
- W4301181806 hasBestOaLocation W43011818061 @default.
- W4301181806 hasConcept C11413529 @default.
- W4301181806 hasConcept C127413603 @default.
- W4301181806 hasConcept C146978453 @default.
- W4301181806 hasConcept C153258448 @default.
- W4301181806 hasConcept C154945302 @default.
- W4301181806 hasConcept C190470478 @default.
- W4301181806 hasConcept C199360897 @default.
- W4301181806 hasConcept C206688291 @default.
- W4301181806 hasConcept C2776637919 @default.
- W4301181806 hasConcept C2778029271 @default.
- W4301181806 hasConcept C28826006 @default.
- W4301181806 hasConcept C33923547 @default.
- W4301181806 hasConcept C37914503 @default.
- W4301181806 hasConcept C41008148 @default.
- W4301181806 hasConcept C50644808 @default.
- W4301181806 hasConceptScore W4301181806C11413529 @default.
- W4301181806 hasConceptScore W4301181806C127413603 @default.
- W4301181806 hasConceptScore W4301181806C146978453 @default.
- W4301181806 hasConceptScore W4301181806C153258448 @default.
- W4301181806 hasConceptScore W4301181806C154945302 @default.
- W4301181806 hasConceptScore W4301181806C190470478 @default.
- W4301181806 hasConceptScore W4301181806C199360897 @default.
- W4301181806 hasConceptScore W4301181806C206688291 @default.
- W4301181806 hasConceptScore W4301181806C2776637919 @default.
- W4301181806 hasConceptScore W4301181806C2778029271 @default.
- W4301181806 hasConceptScore W4301181806C28826006 @default.
- W4301181806 hasConceptScore W4301181806C33923547 @default.
- W4301181806 hasConceptScore W4301181806C37914503 @default.
- W4301181806 hasConceptScore W4301181806C41008148 @default.
- W4301181806 hasConceptScore W4301181806C50644808 @default.
- W4301181806 hasLocation W43011818061 @default.
- W4301181806 hasOpenAccess W4301181806 @default.
- W4301181806 hasPrimaryLocation W43011818061 @default.
- W4301181806 hasRelatedWork W2044847021 @default.
- W4301181806 hasRelatedWork W3035836947 @default.
- W4301181806 hasRelatedWork W3035991101 @default.
- W4301181806 hasRelatedWork W3083427607 @default.
- W4301181806 hasRelatedWork W3101388328 @default.
- W4301181806 hasRelatedWork W4200145902 @default.
- W4301181806 hasRelatedWork W4205393829 @default.
- W4301181806 hasRelatedWork W4287754448 @default.
- W4301181806 hasRelatedWork W4213473289 @default.
- W4301181806 hasRelatedWork W4214792995 @default.
- W4301181806 isParatext "false" @default.
- W4301181806 isRetracted "false" @default.
- W4301181806 workType "article" @default.