FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2563711253> ?p ?o ?g. }

• W2563711253 abstract "Matrix concentration inequalities have attracted much attention in diverse applications such as linear algebra, statistical estimation, combinatorial optimization, etc. In this paper, we present new Bernstein concentration inequalities depending only on the first moments of random matrices, whereas previous Bernstein inequalities are heavily relevant to the first and second moments. Based on those results, we analyze the empirical risk minimization in the presence of label noise. We find that many popular losses used in risk minimization can be decomposed into two parts, where the first part won't be affected and only the second part will be affected by noisy labels. We show that the influence of noisy labels on the second part can be reduced by our proposed LICS (Labeled Instance Centroid Smoothing) approach. The effectiveness of the LICS algorithm is justified both theoretically and empirically." @default.
• W2563711253 created "2017-01-06" @default.
• W2563711253 creator A5010751143 @default.
• W2563711253 creator A5023104005 @default.
• W2563711253 creator A5029484872 @default.
• W2563711253 creator A5084132742 @default.
• W2563711253 date "2016-02-21" @default.
• W2563711253 modified "2023-09-30" @default.
• W2563711253 title "Risk Minimization in the Presence of Label Noise" @default.
• W2563711253 cites W149581298 @default.
• W2563711253 cites W1534582174 @default.
• W2563711253 cites W1595554894 @default.
• W2563711253 cites W164086982 @default.
• W2563711253 cites W1662713651 @default.
• W2563711253 cites W1790582767 @default.
• W2563711253 cites W1966771059 @default.
• W2563711253 cites W1977696979 @default.
• W2563711253 cites W1995897489 @default.
• W2563711253 cites W2041268952 @default.
• W2563711253 cites W2076719323 @default.
• W2563711253 cites W2079002396 @default.
• W2563711253 cites W2094966623 @default.
• W2563711253 cites W2102348129 @default.
• W2563711253 cites W2107189314 @default.
• W2563711253 cites W2113290770 @default.
• W2563711253 cites W2114396536 @default.
• W2563711253 cites W2120872934 @default.
• W2563711253 cites W2122537498 @default.
• W2563711253 cites W2131939929 @default.
• W2563711253 cites W2134348739 @default.
• W2563711253 cites W2135606414 @default.
• W2563711253 cites W2136688338 @default.
• W2563711253 cites W2137798267 @default.
• W2563711253 cites W2148603752 @default.
• W2563711253 cites W2160218441 @default.
• W2563711253 cites W2160354932 @default.
• W2563711253 cites W2164899006 @default.
• W2563711253 cites W2167460663 @default.
• W2563711253 cites W2490901831 @default.
• W2563711253 cites W2579923771 @default.
• W2563711253 cites W2949537205 @default.
• W2563711253 cites W2964089577 @default.
• W2563711253 cites W3098045837 @default.
• W2563711253 cites W3100110387 @default.
• W2563711253 cites W3104501706 @default.
• W2563711253 cites W648260396 @default.
• W2563711253 doi "https://doi.org/10.1609/aaai.v30i1.10293" @default.
• W2563711253 hasPublicationYear "2016" @default.
• W2563711253 type Work @default.
• W2563711253 sameAs 2563711253 @default.
• W2563711253 citedByCount "32" @default.
• W2563711253 countsByYear W25637112532016 @default.
• W2563711253 countsByYear W25637112532017 @default.
• W2563711253 countsByYear W25637112532018 @default.
• W2563711253 countsByYear W25637112532019 @default.
• W2563711253 countsByYear W25637112532020 @default.
• W2563711253 countsByYear W25637112532021 @default.
• W2563711253 countsByYear W25637112532022 @default.
• W2563711253 countsByYear W25637112532023 @default.
• W2563711253 crossrefType "journal-article" @default.
• W2563711253 hasAuthorship W2563711253A5010751143 @default.
• W2563711253 hasAuthorship W2563711253A5023104005 @default.
• W2563711253 hasAuthorship W2563711253A5029484872 @default.
• W2563711253 hasAuthorship W2563711253A5084132742 @default.
• W2563711253 hasBestOaLocation W25637112531 @default.
• W2563711253 hasConcept C105795698 @default.
• W2563711253 hasConcept C106487976 @default.
• W2563711253 hasConcept C107321475 @default.
• W2563711253 hasConcept C11413529 @default.
• W2563711253 hasConcept C115961682 @default.
• W2563711253 hasConcept C121332964 @default.
• W2563711253 hasConcept C126255220 @default.
• W2563711253 hasConcept C134306372 @default.
• W2563711253 hasConcept C146599234 @default.
• W2563711253 hasConcept C147708781 @default.
• W2563711253 hasConcept C147764199 @default.
• W2563711253 hasConcept C154945302 @default.
• W2563711253 hasConcept C158693339 @default.
• W2563711253 hasConcept C159985019 @default.
• W2563711253 hasConcept C192562407 @default.
• W2563711253 hasConcept C33923547 @default.
• W2563711253 hasConcept C3770464 @default.
• W2563711253 hasConcept C41008148 @default.
• W2563711253 hasConcept C45555294 @default.
• W2563711253 hasConcept C62520636 @default.
• W2563711253 hasConcept C64812099 @default.
• W2563711253 hasConcept C99498987 @default.
• W2563711253 hasConceptScore W2563711253C105795698 @default.
• W2563711253 hasConceptScore W2563711253C106487976 @default.
• W2563711253 hasConceptScore W2563711253C107321475 @default.
• W2563711253 hasConceptScore W2563711253C11413529 @default.
• W2563711253 hasConceptScore W2563711253C115961682 @default.
• W2563711253 hasConceptScore W2563711253C121332964 @default.
• W2563711253 hasConceptScore W2563711253C126255220 @default.
• W2563711253 hasConceptScore W2563711253C134306372 @default.
• W2563711253 hasConceptScore W2563711253C146599234 @default.
• W2563711253 hasConceptScore W2563711253C147708781 @default.
• W2563711253 hasConceptScore W2563711253C147764199 @default.
• W2563711253 hasConceptScore W2563711253C154945302 @default.
• W2563711253 hasConceptScore W2563711253C158693339 @default.

• next