FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2029400613> ?p ?o ?g. }

• W2029400613 endingPage "363" @default.
• W2029400613 startingPage "349" @default.
• W2029400613 abstract "There has been major progress in recent years in statistical model-based pattern recognition, data mining and knowledge discovery. In particular, generative models are widely used and are very reliable in terms of overall performance. Success of these models hinges on their ability to construct a representation which captures the underlying statistical distribution of data. In this article, we focus on count data modeling. Indeed, this kind of data is naturally generated in many contexts and in different application domains. Usually, models based on the multinomial assumption are used in this case that may have several shortcomings, especially in the case of high-dimensional sparse data. We propose then a principled approach to smooth multinomials using a mixture of Beta-Liouville distributions which is learned to reflect and model prior beliefs about multinomial parameters, via both theoretical interpretations and experimental validations, we argue that the proposed smoothing model is general and flexible enough to allow accurate representation of count data." @default.
• W2029400613 created "2016-06-24" @default.
• W2029400613 creator A5090600716 @default.
• W2029400613 date "2011-09-06" @default.
• W2029400613 modified "2023-09-27" @default.
• W2029400613 title "On the smoothing of multinomial estimates using Liouville mixture models and applications" @default.
• W2029400613 cites W1482003017 @default.
• W2029400613 cites W1484228140 @default.
• W2029400613 cites W1560306350 @default.
• W2029400613 cites W1593239840 @default.
• W2029400613 cites W1790954942 @default.
• W2029400613 cites W1968353133 @default.
• W2029400613 cites W1971453924 @default.
• W2029400613 cites W1973898298 @default.
• W2029400613 cites W1991022130 @default.
• W2029400613 cites W1993668717 @default.
• W2029400613 cites W1994889454 @default.
• W2029400613 cites W2000123870 @default.
• W2029400613 cites W2013469094 @default.
• W2029400613 cites W2015967939 @default.
• W2029400613 cites W2017278777 @default.
• W2029400613 cites W2024270124 @default.
• W2029400613 cites W2024652682 @default.
• W2029400613 cites W2030015952 @default.
• W2029400613 cites W2031356627 @default.
• W2029400613 cites W2039407614 @default.
• W2029400613 cites W2041092062 @default.
• W2029400613 cites W2050627451 @default.
• W2029400613 cites W2054658115 @default.
• W2029400613 cites W2060556149 @default.
• W2029400613 cites W2063803293 @default.
• W2029400613 cites W2068406209 @default.
• W2029400613 cites W2070988824 @default.
• W2029400613 cites W2079819958 @default.
• W2029400613 cites W2082697323 @default.
• W2029400613 cites W2085710406 @default.
• W2029400613 cites W2089519699 @default.
• W2029400613 cites W2092310225 @default.
• W2029400613 cites W2096784803 @default.
• W2029400613 cites W2099448124 @default.
• W2029400613 cites W2111560940 @default.
• W2029400613 cites W2113641473 @default.
• W2029400613 cites W2125362306 @default.
• W2029400613 cites W2125493259 @default.
• W2029400613 cites W2126326837 @default.
• W2029400613 cites W2126833203 @default.
• W2029400613 cites W2130808343 @default.
• W2029400613 cites W2134383396 @default.
• W2029400613 cites W2139242328 @default.
• W2029400613 cites W2150920547 @default.
• W2029400613 cites W2152548630 @default.
• W2029400613 cites W2152594362 @default.
• W2029400613 cites W2159902206 @default.
• W2029400613 cites W2170902875 @default.
• W2029400613 cites W2479390720 @default.
• W2029400613 cites W2488678869 @default.
• W2029400613 cites W2536231481 @default.
• W2029400613 cites W2914447735 @default.
• W2029400613 cites W4229771263 @default.
• W2029400613 cites W4249214388 @default.
• W2029400613 cites W4253281045 @default.
• W2029400613 cites W4255225174 @default.
• W2029400613 cites W4300246981 @default.
• W2029400613 cites W6854689 @default.
• W2029400613 doi "https://doi.org/10.1007/s10044-011-0236-8" @default.
• W2029400613 hasPublicationYear "2011" @default.
• W2029400613 type Work @default.
• W2029400613 sameAs 2029400613 @default.
• W2029400613 citedByCount "8" @default.
• W2029400613 countsByYear W20294006132019 @default.
• W2029400613 countsByYear W20294006132020 @default.
• W2029400613 countsByYear W20294006132021 @default.
• W2029400613 countsByYear W20294006132022 @default.
• W2029400613 crossrefType "journal-article" @default.
• W2029400613 hasAuthorship W2029400613A5090600716 @default.
• W2029400613 hasBestOaLocation W20294006132 @default.
• W2029400613 hasConcept C114289077 @default.
• W2029400613 hasConcept C119857082 @default.
• W2029400613 hasConcept C120665830 @default.
• W2029400613 hasConcept C121332964 @default.
• W2029400613 hasConcept C124101348 @default.
• W2029400613 hasConcept C149782125 @default.
• W2029400613 hasConcept C153180895 @default.
• W2029400613 hasConcept C154945302 @default.
• W2029400613 hasConcept C167966045 @default.
• W2029400613 hasConcept C17744445 @default.
• W2029400613 hasConcept C192065140 @default.
• W2029400613 hasConcept C192209626 @default.
• W2029400613 hasConcept C199360897 @default.
• W2029400613 hasConcept C199539241 @default.
• W2029400613 hasConcept C2776359362 @default.
• W2029400613 hasConcept C2780801425 @default.
• W2029400613 hasConcept C31972630 @default.
• W2029400613 hasConcept C33923547 @default.
• W2029400613 hasConcept C3770464 @default.
• W2029400613 hasConcept C39890363 @default.
• W2029400613 hasConcept C41008148 @default.
• W2029400613 hasConcept C61224824 @default.

• next