Matches in SemOpenAlex for { <https://semopenalex.org/work/W2989336673> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2989336673 abstract "In this paper, we propose a new wrapper approach for semi-supervised feature selection. A common strategy in semi-supervised learning is to augment the training set by pseudo-labeled unlabeled examples. However, the pseudo-labeling procedure is prone to error and has a high risk of disrupting the learning algorithm with additional noisy labeled training data. To overcome this, we propose to model explicitly the mislabeling error during the learning phase with the overall aim of selecting the most relevant feature characteristics. We derive a $mathcal{C}$-bound for Bayes classifiers trained over partially labeled training sets by taking into account the mislabeling errors. The risk bound is then considered as an objective function that is minimized over the space of possible feature subsets using a genetic algorithm. In order to produce both sparse and accurate solution, we propose a modification of a genetic algorithm with the crossover based on feature weights and recursive elimination of irrelevant features. Empirical results on different data sets show the effectiveness of our framework compared to several state-of-the-art semi-supervised feature selection approaches." @default.
- W2989336673 created "2019-11-22" @default.
- W2989336673 creator A5036354530 @default.
- W2989336673 creator A5044686680 @default.
- W2989336673 creator A5052815615 @default.
- W2989336673 date "2019-11-12" @default.
- W2989336673 modified "2023-09-27" @default.
- W2989336673 title "Semi-supervised Wrapper Feature Selection with Imperfect Labels." @default.
- W2989336673 cites W1519203705 @default.
- W2989336673 cites W1541288193 @default.
- W2989336673 cites W1849729440 @default.
- W2989336673 cites W1966985314 @default.
- W2989336673 cites W1972978214 @default.
- W2989336673 cites W2017337590 @default.
- W2989336673 cites W2043420811 @default.
- W2989336673 cites W2101234009 @default.
- W2989336673 cites W2119479037 @default.
- W2989336673 cites W2129911503 @default.
- W2989336673 cites W2153635508 @default.
- W2989336673 cites W2165265965 @default.
- W2989336673 cites W2167101736 @default.
- W2989336673 cites W2311217941 @default.
- W2989336673 cites W2550999023 @default.
- W2989336673 cites W2739902099 @default.
- W2989336673 cites W2911964244 @default.
- W2989336673 cites W3097993951 @default.
- W2989336673 cites W2161391345 @default.
- W2989336673 hasPublicationYear "2019" @default.
- W2989336673 type Work @default.
- W2989336673 sameAs 2989336673 @default.
- W2989336673 citedByCount "0" @default.
- W2989336673 crossrefType "posted-content" @default.
- W2989336673 hasAuthorship W2989336673A5036354530 @default.
- W2989336673 hasAuthorship W2989336673A5044686680 @default.
- W2989336673 hasAuthorship W2989336673A5052815615 @default.
- W2989336673 hasConcept C107673813 @default.
- W2989336673 hasConcept C119857082 @default.
- W2989336673 hasConcept C122507166 @default.
- W2989336673 hasConcept C136389625 @default.
- W2989336673 hasConcept C138885662 @default.
- W2989336673 hasConcept C148483581 @default.
- W2989336673 hasConcept C153180895 @default.
- W2989336673 hasConcept C154945302 @default.
- W2989336673 hasConcept C177264268 @default.
- W2989336673 hasConcept C199360897 @default.
- W2989336673 hasConcept C207201462 @default.
- W2989336673 hasConcept C2776401178 @default.
- W2989336673 hasConcept C2780310539 @default.
- W2989336673 hasConcept C41008148 @default.
- W2989336673 hasConcept C41895202 @default.
- W2989336673 hasConcept C50644808 @default.
- W2989336673 hasConcept C8880873 @default.
- W2989336673 hasConceptScore W2989336673C107673813 @default.
- W2989336673 hasConceptScore W2989336673C119857082 @default.
- W2989336673 hasConceptScore W2989336673C122507166 @default.
- W2989336673 hasConceptScore W2989336673C136389625 @default.
- W2989336673 hasConceptScore W2989336673C138885662 @default.
- W2989336673 hasConceptScore W2989336673C148483581 @default.
- W2989336673 hasConceptScore W2989336673C153180895 @default.
- W2989336673 hasConceptScore W2989336673C154945302 @default.
- W2989336673 hasConceptScore W2989336673C177264268 @default.
- W2989336673 hasConceptScore W2989336673C199360897 @default.
- W2989336673 hasConceptScore W2989336673C207201462 @default.
- W2989336673 hasConceptScore W2989336673C2776401178 @default.
- W2989336673 hasConceptScore W2989336673C2780310539 @default.
- W2989336673 hasConceptScore W2989336673C41008148 @default.
- W2989336673 hasConceptScore W2989336673C41895202 @default.
- W2989336673 hasConceptScore W2989336673C50644808 @default.
- W2989336673 hasConceptScore W2989336673C8880873 @default.
- W2989336673 hasLocation W29893366731 @default.
- W2989336673 hasOpenAccess W2989336673 @default.
- W2989336673 hasPrimaryLocation W29893366731 @default.
- W2989336673 hasRelatedWork W2077516191 @default.
- W2989336673 hasRelatedWork W2153818524 @default.
- W2989336673 hasRelatedWork W2159670487 @default.
- W2989336673 hasRelatedWork W2165324305 @default.
- W2989336673 hasRelatedWork W2169529361 @default.
- W2989336673 hasRelatedWork W2224830355 @default.
- W2989336673 hasRelatedWork W2250378784 @default.
- W2989336673 hasRelatedWork W2533318895 @default.
- W2989336673 hasRelatedWork W2902479064 @default.
- W2989336673 hasRelatedWork W2903072950 @default.
- W2989336673 hasRelatedWork W2903665248 @default.
- W2989336673 hasRelatedWork W2909547813 @default.
- W2989336673 hasRelatedWork W2914163321 @default.
- W2989336673 hasRelatedWork W2964051842 @default.
- W2989336673 hasRelatedWork W3010788625 @default.
- W2989336673 hasRelatedWork W3047027700 @default.
- W2989336673 hasRelatedWork W3113970118 @default.
- W2989336673 hasRelatedWork W3159313673 @default.
- W2989336673 hasRelatedWork W3207342074 @default.
- W2989336673 hasRelatedWork W65917906 @default.
- W2989336673 isParatext "false" @default.
- W2989336673 isRetracted "false" @default.
- W2989336673 magId "2989336673" @default.
- W2989336673 workType "article" @default.