FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2995615678> ?p ?o ?g. }

• W2995615678 endingPage "1673" @default.
• W2995615678 startingPage "1658" @default.
• W2995615678 abstract "A loss function measures the discrepancy between the true values and their estimated fits, for a given instance of data. In classification problems, a loss function is said to be proper if a minimizer of the expected loss is the true underlying probability. We show that for binary classification, the divergence associated with smooth, proper, and convex loss functions is upper bounded by the Kullback-Leibler (KL) divergence, to within a normalization constant. This implies that by minimizing the logarithmic loss associated with the KL divergence, we minimize an upper bound to any choice of loss from this set. As such the logarithmic loss is universal in the sense of providing performance guarantees with respect to a broad class of accuracy measures. Importantly, this notion of universality is not problem-specific, enabling its use in diverse applications, including predictive modeling, data clustering and sample complexity analysis. Generalizations to arbitary finite alphabets are also developed. The derived inequalities extend several well-known $f$ -divergence results." @default.
• W2995615678 created "2019-12-26" @default.
• W2995615678 creator A5012874444 @default.
• W2995615678 creator A5066172831 @default.
• W2995615678 date "2020-03-01" @default.
• W2995615678 modified "2023-09-27" @default.
• W2995615678 title "Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss" @default.
• W2995615678 cites W1604467579 @default.
• W2995615678 cites W1656170764 @default.
• W2995615678 cites W1873369706 @default.
• W2995615678 cites W1966168239 @default.
• W2995615678 cites W1979685007 @default.
• W2995615678 cites W1987103639 @default.
• W2995615678 cites W2023163512 @default.
• W2995615678 cites W2025720061 @default.
• W2995615678 cites W2027216529 @default.
• W2995615678 cites W2029029543 @default.
• W2995615678 cites W2030654976 @default.
• W2995615678 cites W2042980709 @default.
• W2995615678 cites W2054321977 @default.
• W2995615678 cites W2054904291 @default.
• W2995615678 cites W2060314721 @default.
• W2995615678 cites W2060683726 @default.
• W2995615678 cites W2064580901 @default.
• W2995615678 cites W2070945723 @default.
• W2995615678 cites W2084544490 @default.
• W2995615678 cites W2104334863 @default.
• W2995615678 cites W2104812799 @default.
• W2995615678 cites W2111389053 @default.
• W2995615678 cites W2113075298 @default.
• W2995615678 cites W2121287494 @default.
• W2995615678 cites W2122925692 @default.
• W2995615678 cites W2124792803 @default.
• W2995615678 cites W2127314673 @default.
• W2995615678 cites W2134383396 @default.
• W2995615678 cites W2136428061 @default.
• W2995615678 cites W2138054245 @default.
• W2995615678 cites W2148988050 @default.
• W2995615678 cites W2149991487 @default.
• W2995615678 cites W2161873643 @default.
• W2995615678 cites W2165783665 @default.
• W2995615678 cites W2239029832 @default.
• W2995615678 cites W2294584261 @default.
• W2995615678 cites W2518143623 @default.
• W2995615678 cites W2611600874 @default.
• W2995615678 cites W2891505418 @default.
• W2995615678 cites W2900826962 @default.
• W2995615678 cites W2962761397 @default.
• W2995615678 cites W2963441115 @default.
• W2995615678 cites W2963717073 @default.
• W2995615678 cites W2963796975 @default.
• W2995615678 cites W2964184826 @default.
• W2995615678 cites W3098445100 @default.
• W2995615678 cites W3099915675 @default.
• W2995615678 cites W3101108864 @default.
• W2995615678 cites W4229706427 @default.
• W2995615678 cites W4243185739 @default.
• W2995615678 cites W4293404332 @default.
• W2995615678 cites W53759226 @default.
• W2995615678 doi "https://doi.org/10.1109/tit.2019.2958705" @default.
• W2995615678 hasPublicationYear "2020" @default.
• W2995615678 type Work @default.
• W2995615678 sameAs 2995615678 @default.
• W2995615678 citedByCount "16" @default.
• W2995615678 countsByYear W29956156782018 @default.
• W2995615678 countsByYear W29956156782020 @default.
• W2995615678 countsByYear W29956156782021 @default.
• W2995615678 countsByYear W29956156782022 @default.
• W2995615678 countsByYear W29956156782023 @default.
• W2995615678 crossrefType "journal-article" @default.
• W2995615678 hasAuthorship W2995615678A5012874444 @default.
• W2995615678 hasAuthorship W2995615678A5066172831 @default.
• W2995615678 hasBestOaLocation W29956156781 @default.
• W2995615678 hasConcept C105795698 @default.
• W2995615678 hasConcept C106301342 @default.
• W2995615678 hasConcept C112680207 @default.
• W2995615678 hasConcept C121332964 @default.
• W2995615678 hasConcept C134306372 @default.
• W2995615678 hasConcept C136886441 @default.
• W2995615678 hasConcept C138885662 @default.
• W2995615678 hasConcept C144024400 @default.
• W2995615678 hasConcept C145446738 @default.
• W2995615678 hasConcept C149073432 @default.
• W2995615678 hasConcept C171752962 @default.
• W2995615678 hasConcept C183992945 @default.
• W2995615678 hasConcept C19165224 @default.
• W2995615678 hasConcept C207390915 @default.
• W2995615678 hasConcept C2524010 @default.
• W2995615678 hasConcept C28826006 @default.
• W2995615678 hasConcept C33923547 @default.
• W2995615678 hasConcept C34388435 @default.
• W2995615678 hasConcept C39927690 @default.
• W2995615678 hasConcept C41895202 @default.
• W2995615678 hasConcept C62520636 @default.
• W2995615678 hasConcept C73555534 @default.
• W2995615678 hasConcept C77553402 @default.
• W2995615678 hasConceptScore W2995615678C105795698 @default.
• W2995615678 hasConceptScore W2995615678C106301342 @default.

• next