Matches in SemOpenAlex for { <https://semopenalex.org/work/W2996673142> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2996673142 endingPage "408" @default.
- W2996673142 startingPage "396" @default.
- W2996673142 abstract "Abstract High-dimensional data in many machine learning applications leads to computational and analytical complexities. Feature selection provides an effective way for solving these problems by removing irrelevant and redundant features, thus reducing model complexity and improving accuracy and generalization capability of the model. In this paper, we present a novel teacher-student feature selection (TSFS) method in which a ‘teacher’ (a deep neural network or a complicated dimension reduction method) is first employed to learn the best representation of data in low dimension. Then a ‘student’ network (a simple neural network) is used to perform feature selection by minimizing the reconstruction error of low dimensional representation. Although the teacher-student scheme is not new, to the best of our knowledge, it is the first time that this scheme is employed for feature selection. The proposed TSFS can be used for both supervised and unsupervised feature selection. This method is evaluated on different datasets and is compared with state-of-the-art existing feature selection methods. The results show that TSFS performs better in terms of classification and clustering accuracies and reconstruction error. Moreover, experimental evaluations demonstrate a low degree of sensitivity to parameter selection in the proposed method." @default.
- W2996673142 created "2019-12-26" @default.
- W2996673142 creator A5026429425 @default.
- W2996673142 creator A5067376160 @default.
- W2996673142 creator A5073384956 @default.
- W2996673142 creator A5090489682 @default.
- W2996673142 date "2020-03-01" @default.
- W2996673142 modified "2023-09-23" @default.
- W2996673142 title "Deep feature selection using a teacher-student network" @default.
- W2996673142 cites W2001141328 @default.
- W2996673142 cites W2053186076 @default.
- W2996673142 cites W2083666679 @default.
- W2996673142 cites W2154053567 @default.
- W2996673142 cites W2222512263 @default.
- W2996673142 cites W2257217404 @default.
- W2996673142 cites W2468540678 @default.
- W2996673142 cites W2550999023 @default.
- W2996673142 cites W2590286530 @default.
- W2996673142 cites W2623012606 @default.
- W2996673142 cites W2751656404 @default.
- W2996673142 cites W2753846453 @default.
- W2996673142 cites W2755299938 @default.
- W2996673142 cites W2756590575 @default.
- W2996673142 cites W2774506992 @default.
- W2996673142 cites W2810476110 @default.
- W2996673142 cites W2888734194 @default.
- W2996673142 cites W2892911634 @default.
- W2996673142 cites W2962984958 @default.
- W2996673142 doi "https://doi.org/10.1016/j.neucom.2019.12.017" @default.
- W2996673142 hasPublicationYear "2020" @default.
- W2996673142 type Work @default.
- W2996673142 sameAs 2996673142 @default.
- W2996673142 citedByCount "30" @default.
- W2996673142 countsByYear W29966731422019 @default.
- W2996673142 countsByYear W29966731422020 @default.
- W2996673142 countsByYear W29966731422021 @default.
- W2996673142 countsByYear W29966731422022 @default.
- W2996673142 countsByYear W29966731422023 @default.
- W2996673142 crossrefType "journal-article" @default.
- W2996673142 hasAuthorship W2996673142A5026429425 @default.
- W2996673142 hasAuthorship W2996673142A5067376160 @default.
- W2996673142 hasAuthorship W2996673142A5073384956 @default.
- W2996673142 hasAuthorship W2996673142A5090489682 @default.
- W2996673142 hasBestOaLocation W29966731422 @default.
- W2996673142 hasConcept C119857082 @default.
- W2996673142 hasConcept C138885662 @default.
- W2996673142 hasConcept C145420912 @default.
- W2996673142 hasConcept C148483581 @default.
- W2996673142 hasConcept C153180895 @default.
- W2996673142 hasConcept C154945302 @default.
- W2996673142 hasConcept C2776401178 @default.
- W2996673142 hasConcept C33923547 @default.
- W2996673142 hasConcept C41008148 @default.
- W2996673142 hasConcept C41895202 @default.
- W2996673142 hasConcept C81917197 @default.
- W2996673142 hasConceptScore W2996673142C119857082 @default.
- W2996673142 hasConceptScore W2996673142C138885662 @default.
- W2996673142 hasConceptScore W2996673142C145420912 @default.
- W2996673142 hasConceptScore W2996673142C148483581 @default.
- W2996673142 hasConceptScore W2996673142C153180895 @default.
- W2996673142 hasConceptScore W2996673142C154945302 @default.
- W2996673142 hasConceptScore W2996673142C2776401178 @default.
- W2996673142 hasConceptScore W2996673142C33923547 @default.
- W2996673142 hasConceptScore W2996673142C41008148 @default.
- W2996673142 hasConceptScore W2996673142C41895202 @default.
- W2996673142 hasConceptScore W2996673142C81917197 @default.
- W2996673142 hasLocation W29966731421 @default.
- W2996673142 hasLocation W29966731422 @default.
- W2996673142 hasOpenAccess W2996673142 @default.
- W2996673142 hasPrimaryLocation W29966731421 @default.
- W2996673142 hasRelatedWork W2159220931 @default.
- W2996673142 hasRelatedWork W2374344280 @default.
- W2996673142 hasRelatedWork W2547204049 @default.
- W2996673142 hasRelatedWork W2891907751 @default.
- W2996673142 hasRelatedWork W3174196512 @default.
- W2996673142 hasRelatedWork W3200179079 @default.
- W2996673142 hasRelatedWork W4212852473 @default.
- W2996673142 hasRelatedWork W4225360065 @default.
- W2996673142 hasRelatedWork W4307883119 @default.
- W2996673142 hasRelatedWork W2345184372 @default.
- W2996673142 hasVolume "383" @default.
- W2996673142 isParatext "false" @default.
- W2996673142 isRetracted "false" @default.
- W2996673142 magId "2996673142" @default.
- W2996673142 workType "article" @default.