Matches in SemOpenAlex for { <https://semopenalex.org/work/W2054202284> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2054202284 abstract "The paper addresses the problem of making dependency-aware feature selection feasible in pattern recognition problems of very high dimensionality. The idea of individually best ranking is generalized to evaluate the contextual quality of each feature in a series of randomly generated feature subsets. Each random subset is evaluated by a criterion function of arbitrary choice (permitting functions of high complexity). Eventually, the novel dependency-aware feature rank is computed, expressing the average benefit of including a feature into feature subsets. The method is efficient and generalizes well especially in very-high-dimensional problems, where traditional context-aware feature selection methods fail due to prohibitive computational complexity or to over-fitting. The method is shown well capable of over-performing the commonly applied individual ranking which ignores important contextual information contained in data." @default.
- W2054202284 created "2016-06-24" @default.
- W2054202284 creator A5019333129 @default.
- W2054202284 creator A5025455244 @default.
- W2054202284 creator A5073245119 @default.
- W2054202284 date "2011-10-01" @default.
- W2054202284 modified "2023-09-25" @default.
- W2054202284 title "Fast dependency-aware feature selection in very-high-dimensional pattern recognition" @default.
- W2054202284 cites W144440563 @default.
- W2054202284 cites W1504509715 @default.
- W2054202284 cites W1534522734 @default.
- W2054202284 cites W1538776335 @default.
- W2054202284 cites W1542330885 @default.
- W2054202284 cites W1549887922 @default.
- W2054202284 cites W1555710880 @default.
- W2054202284 cites W1570713908 @default.
- W2054202284 cites W1574919022 @default.
- W2054202284 cites W1587362683 @default.
- W2054202284 cites W1606544556 @default.
- W2054202284 cites W1661871015 @default.
- W2054202284 cites W1808644423 @default.
- W2054202284 cites W189408774 @default.
- W2054202284 cites W1965296805 @default.
- W2054202284 cites W1980967773 @default.
- W2054202284 cites W2008451765 @default.
- W2054202284 cites W2014915963 @default.
- W2054202284 cites W2017337590 @default.
- W2054202284 cites W2069928051 @default.
- W2054202284 cites W2070611982 @default.
- W2054202284 cites W2097653553 @default.
- W2054202284 cites W2099322651 @default.
- W2054202284 cites W2102831150 @default.
- W2054202284 cites W2107014760 @default.
- W2054202284 cites W2115044652 @default.
- W2054202284 cites W2115247131 @default.
- W2054202284 cites W2116237179 @default.
- W2054202284 cites W2118020653 @default.
- W2054202284 cites W2118578744 @default.
- W2054202284 cites W2119387367 @default.
- W2054202284 cites W2148730406 @default.
- W2054202284 cites W2149454242 @default.
- W2054202284 cites W2154053567 @default.
- W2054202284 cites W2156647247 @default.
- W2054202284 cites W2167191085 @default.
- W2054202284 cites W2435251607 @default.
- W2054202284 cites W3120740533 @default.
- W2054202284 cites W7002624 @default.
- W2054202284 cites W2091615597 @default.
- W2054202284 doi "https://doi.org/10.1109/icsmc.2011.6083733" @default.
- W2054202284 hasPublicationYear "2011" @default.
- W2054202284 type Work @default.
- W2054202284 sameAs 2054202284 @default.
- W2054202284 citedByCount "13" @default.
- W2054202284 countsByYear W20542022842013 @default.
- W2054202284 countsByYear W20542022842014 @default.
- W2054202284 countsByYear W20542022842015 @default.
- W2054202284 countsByYear W20542022842016 @default.
- W2054202284 countsByYear W20542022842021 @default.
- W2054202284 crossrefType "proceedings-article" @default.
- W2054202284 hasAuthorship W2054202284A5019333129 @default.
- W2054202284 hasAuthorship W2054202284A5025455244 @default.
- W2054202284 hasAuthorship W2054202284A5073245119 @default.
- W2054202284 hasConcept C138885662 @default.
- W2054202284 hasConcept C148483581 @default.
- W2054202284 hasConcept C153180895 @default.
- W2054202284 hasConcept C154945302 @default.
- W2054202284 hasConcept C19768560 @default.
- W2054202284 hasConcept C2776401178 @default.
- W2054202284 hasConcept C41008148 @default.
- W2054202284 hasConcept C41895202 @default.
- W2054202284 hasConcept C81917197 @default.
- W2054202284 hasConceptScore W2054202284C138885662 @default.
- W2054202284 hasConceptScore W2054202284C148483581 @default.
- W2054202284 hasConceptScore W2054202284C153180895 @default.
- W2054202284 hasConceptScore W2054202284C154945302 @default.
- W2054202284 hasConceptScore W2054202284C19768560 @default.
- W2054202284 hasConceptScore W2054202284C2776401178 @default.
- W2054202284 hasConceptScore W2054202284C41008148 @default.
- W2054202284 hasConceptScore W2054202284C41895202 @default.
- W2054202284 hasConceptScore W2054202284C81917197 @default.
- W2054202284 hasLocation W20542022841 @default.
- W2054202284 hasOpenAccess W2054202284 @default.
- W2054202284 hasPrimaryLocation W20542022841 @default.
- W2054202284 hasRelatedWork W2013349038 @default.
- W2054202284 hasRelatedWork W2015538044 @default.
- W2054202284 hasRelatedWork W2052253960 @default.
- W2054202284 hasRelatedWork W2159220931 @default.
- W2054202284 hasRelatedWork W2316780152 @default.
- W2054202284 hasRelatedWork W2374344280 @default.
- W2054202284 hasRelatedWork W27971500 @default.
- W2054202284 hasRelatedWork W2970216048 @default.
- W2054202284 hasRelatedWork W4307883119 @default.
- W2054202284 hasRelatedWork W2345184372 @default.
- W2054202284 isParatext "false" @default.
- W2054202284 isRetracted "false" @default.
- W2054202284 magId "2054202284" @default.
- W2054202284 workType "article" @default.