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Concept Learning and the Recognition and Classification of Exemplars

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Bibliographic Details
Title: Concept Learning and the Recognition and Classification of Exemplars
Authors: Hayes-Roth, Barbara, Hayes-Roth, Frederick
Source: Journal of Verbal Learning and Verbal Behavior. Jun 77 16(3):321-338.
Peer Reviewed: N
Page Count: 18
Publication Date: 1977
Descriptors: Classification, Cognitive Processes, Concept Formation, Language Processing, Learning Processes, Memory, Models, Psycholinguistics, Recognition, Verbal Learning
Abstract: The "property-set model" is proposed for concept learning and subsequent recognition and classification of old and new exemplars. In an experimental evaluation of alternative models, the property-set model was the best predictor of both recognition and classification performance. (Author/RM)
Journal Code: CIJDEC1977
Entry Date: 1977
Accession Number: EJ162516
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ162516
AccessLevel: 3
PubTypeId: unknown
PreciseRelevancyScore: 0
IllustrationInfo
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  Data: Concept Learning and the Recognition and Classification of Exemplars
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  Data: <searchLink fieldCode="AR" term="%22Hayes-Roth%2C+Barbara%22">Hayes-Roth, Barbara</searchLink><br /><searchLink fieldCode="AR" term="%22Hayes-Roth%2C+Frederick%22">Hayes-Roth, Frederick</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Verbal+Learning+and+Verbal+Behavior%22"><i>Journal of Verbal Learning and Verbal Behavior</i></searchLink>. Jun 77 16(3):321-338.
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: N
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 18
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 1977
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Classification%22">Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+Processes%22">Cognitive Processes</searchLink><br /><searchLink fieldCode="DE" term="%22Concept+Formation%22">Concept Formation</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Processing%22">Language Processing</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Processes%22">Learning Processes</searchLink><br /><searchLink fieldCode="DE" term="%22Memory%22">Memory</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Psycholinguistics%22">Psycholinguistics</searchLink><br /><searchLink fieldCode="DE" term="%22Recognition%22">Recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Verbal+Learning%22">Verbal Learning</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The "property-set model" is proposed for concept learning and subsequent recognition and classification of old and new exemplars. In an experimental evaluation of alternative models, the property-set model was the best predictor of both recognition and classification performance. (Author/RM)
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RecordInfo BibRecord:
  BibEntity:
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 321
    Subjects:
      – SubjectFull: Classification
        Type: general
      – SubjectFull: Cognitive Processes
        Type: general
      – SubjectFull: Concept Formation
        Type: general
      – SubjectFull: Language Processing
        Type: general
      – SubjectFull: Learning Processes
        Type: general
      – SubjectFull: Memory
        Type: general
      – SubjectFull: Models
        Type: general
      – SubjectFull: Psycholinguistics
        Type: general
      – SubjectFull: Recognition
        Type: general
      – SubjectFull: Verbal Learning
        Type: general
    Titles:
      – TitleFull: Concept Learning and the Recognition and Classification of Exemplars
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Hayes-Roth, Barbara
      – PersonEntity:
          Name:
            NameFull: Hayes-Roth, Frederick
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 1977
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 3
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