Matches in SemOpenAlex for { <https://semopenalex.org/work/W2082929796> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2082929796 endingPage "233" @default.
- W2082929796 startingPage "216" @default.
- W2082929796 abstract "A category can be represented as a probability density function (pdf), that is, as a set of exemplars along with the probability or likelihood that each is selected as a stimulus. This article examines the relation between categorization and pdf estimation. We first discuss the differences between classifiers that know the true category pdfs and classifiers that must estimate these functions from trial-by-trial feedback. Consistency is shown to be the key statistical properly that guarantees two such classifiers will reasonably agree. Parametric and nonparametric pdf estimators are interpreted from the perspective of the categorization process. It is shown that the prototype model and several decision-bound models of categorization are parametric, whereas most exemplar models are nonparametric. The exemplar models are shown to be equivalent to a classifier that uses the minimum variance unbiased estimator of the category baserates and a nonparametric pdf estimator that is one of the most commonly used estimators of professional statisticians (i.e., the kernel estimator). It is also shown that in most applications, the exemplar models predict essentially optimal performance. Finally, the implications of these results are discussed and an alternative approach to the study of categorization is suggested." @default.
- W2082929796 created "2016-06-24" @default.
- W2082929796 creator A5038861821 @default.
- W2082929796 creator A5068227242 @default.
- W2082929796 date "1995-06-01" @default.
- W2082929796 modified "2023-10-02" @default.
- W2082929796 title "Categorization as Probability Density Estimation" @default.
- W2082929796 doi "https://doi.org/10.1006/jmps.1995.1021" @default.
- W2082929796 hasPublicationYear "1995" @default.
- W2082929796 type Work @default.
- W2082929796 sameAs 2082929796 @default.
- W2082929796 citedByCount "189" @default.
- W2082929796 countsByYear W20829297962012 @default.
- W2082929796 countsByYear W20829297962013 @default.
- W2082929796 countsByYear W20829297962014 @default.
- W2082929796 countsByYear W20829297962015 @default.
- W2082929796 countsByYear W20829297962016 @default.
- W2082929796 countsByYear W20829297962017 @default.
- W2082929796 countsByYear W20829297962018 @default.
- W2082929796 countsByYear W20829297962019 @default.
- W2082929796 countsByYear W20829297962020 @default.
- W2082929796 countsByYear W20829297962021 @default.
- W2082929796 countsByYear W20829297962022 @default.
- W2082929796 countsByYear W20829297962023 @default.
- W2082929796 crossrefType "journal-article" @default.
- W2082929796 hasAuthorship W2082929796A5038861821 @default.
- W2082929796 hasAuthorship W2082929796A5068227242 @default.
- W2082929796 hasConcept C102366305 @default.
- W2082929796 hasConcept C105795698 @default.
- W2082929796 hasConcept C117251300 @default.
- W2082929796 hasConcept C119857082 @default.
- W2082929796 hasConcept C154945302 @default.
- W2082929796 hasConcept C185429906 @default.
- W2082929796 hasConcept C189508267 @default.
- W2082929796 hasConcept C197055811 @default.
- W2082929796 hasConcept C2776436953 @default.
- W2082929796 hasConcept C33923547 @default.
- W2082929796 hasConcept C41008148 @default.
- W2082929796 hasConcept C71134354 @default.
- W2082929796 hasConcept C94124525 @default.
- W2082929796 hasConcept C95623464 @default.
- W2082929796 hasConceptScore W2082929796C102366305 @default.
- W2082929796 hasConceptScore W2082929796C105795698 @default.
- W2082929796 hasConceptScore W2082929796C117251300 @default.
- W2082929796 hasConceptScore W2082929796C119857082 @default.
- W2082929796 hasConceptScore W2082929796C154945302 @default.
- W2082929796 hasConceptScore W2082929796C185429906 @default.
- W2082929796 hasConceptScore W2082929796C189508267 @default.
- W2082929796 hasConceptScore W2082929796C197055811 @default.
- W2082929796 hasConceptScore W2082929796C2776436953 @default.
- W2082929796 hasConceptScore W2082929796C33923547 @default.
- W2082929796 hasConceptScore W2082929796C41008148 @default.
- W2082929796 hasConceptScore W2082929796C71134354 @default.
- W2082929796 hasConceptScore W2082929796C94124525 @default.
- W2082929796 hasConceptScore W2082929796C95623464 @default.
- W2082929796 hasIssue "2" @default.
- W2082929796 hasLocation W20829297961 @default.
- W2082929796 hasOpenAccess W2082929796 @default.
- W2082929796 hasPrimaryLocation W20829297961 @default.
- W2082929796 hasRelatedWork W143814345 @default.
- W2082929796 hasRelatedWork W1569550976 @default.
- W2082929796 hasRelatedWork W1985875898 @default.
- W2082929796 hasRelatedWork W2042574171 @default.
- W2082929796 hasRelatedWork W2093507948 @default.
- W2082929796 hasRelatedWork W2113136208 @default.
- W2082929796 hasRelatedWork W2168477585 @default.
- W2082929796 hasRelatedWork W4247116315 @default.
- W2082929796 hasRelatedWork W4297172281 @default.
- W2082929796 hasRelatedWork W4386118679 @default.
- W2082929796 hasVolume "39" @default.
- W2082929796 isParatext "false" @default.
- W2082929796 isRetracted "false" @default.
- W2082929796 magId "2082929796" @default.
- W2082929796 workType "article" @default.