Matches in SemOpenAlex for { <https://semopenalex.org/work/W1963949050> ?p ?o ?g. }
Showing items 1 to 52 of
52
with 100 items per page.
- W1963949050 abstract "Estimating probabilities based on measured numbers of occurrences of events provides a central link from probability theory to real world applications. In an important class of applications the probabilistic events correspond to the digitized outcome of an analog sensor. This paper shows theoretically and experimentally that such events are governed by a natural similarity relation which imposes subtle but highly effective a priori constraints on the meta-probability distribution, i.e. the probability distribution of probability values. The application of these constraints significantly improves the probability estimates based on the measurements. The results are applied to estimating order-1 Markov model parameters in image processing applications." @default.
- W1963949050 created "2016-06-24" @default.
- W1963949050 creator A5051372524 @default.
- W1963949050 creator A5055131915 @default.
- W1963949050 date "1994-01-01" @default.
- W1963949050 modified "2023-09-26" @default.
- W1963949050 title "Hierarchical Probability Estimation" @default.
- W1963949050 cites W1550922999 @default.
- W1963949050 cites W1667165204 @default.
- W1963949050 cites W1782102644 @default.
- W1963949050 cites W1995875735 @default.
- W1963949050 cites W2028631142 @default.
- W1963949050 cites W2125838338 @default.
- W1963949050 cites W2126397022 @default.
- W1963949050 cites W2129652681 @default.
- W1963949050 cites W2145354815 @default.
- W1963949050 cites W2798711040 @default.
- W1963949050 cites W3004157836 @default.
- W1963949050 cites W570690303 @default.
- W1963949050 doi "https://doi.org/10.5244/c.8.15" @default.
- W1963949050 hasPublicationYear "1994" @default.
- W1963949050 type Work @default.
- W1963949050 sameAs 1963949050 @default.
- W1963949050 citedByCount "0" @default.
- W1963949050 crossrefType "proceedings-article" @default.
- W1963949050 hasAuthorship W1963949050A5051372524 @default.
- W1963949050 hasAuthorship W1963949050A5055131915 @default.
- W1963949050 hasConcept C127413603 @default.
- W1963949050 hasConcept C201995342 @default.
- W1963949050 hasConcept C41008148 @default.
- W1963949050 hasConcept C96250715 @default.
- W1963949050 hasConceptScore W1963949050C127413603 @default.
- W1963949050 hasConceptScore W1963949050C201995342 @default.
- W1963949050 hasConceptScore W1963949050C41008148 @default.
- W1963949050 hasConceptScore W1963949050C96250715 @default.
- W1963949050 hasLocation W19639490501 @default.
- W1963949050 hasOpenAccess W1963949050 @default.
- W1963949050 hasPrimaryLocation W19639490501 @default.
- W1963949050 hasRelatedWork W2093578348 @default.
- W1963949050 hasRelatedWork W2096946506 @default.
- W1963949050 hasRelatedWork W2350741829 @default.
- W1963949050 hasRelatedWork W2358668433 @default.
- W1963949050 hasRelatedWork W2376932109 @default.
- W1963949050 hasRelatedWork W2382290278 @default.
- W1963949050 hasRelatedWork W2390279801 @default.
- W1963949050 hasRelatedWork W2748952813 @default.
- W1963949050 hasRelatedWork W2766271392 @default.
- W1963949050 hasRelatedWork W2899084033 @default.
- W1963949050 isParatext "false" @default.
- W1963949050 isRetracted "false" @default.
- W1963949050 magId "1963949050" @default.
- W1963949050 workType "article" @default.