Literature DB >> 13803353

Mathematical theory of concept identification.

L E BOURNE, F RESTLE.   

Abstract

Keywords:  LEARNING

Mesh:

Year:  1959        PMID: 13803353     DOI: 10.1037/h0041365

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


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  10 in total

1.  Traps in the route to models of memory and decision.

Authors:  W K Estes
Journal:  Psychon Bull Rev       Date:  2002-03

2.  Distinctive features hold a privileged status in the computation of word meaning: Implications for theories of semantic memory.

Authors:  George S Cree; Chris McNorgan; Ken McRae
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2006-07       Impact factor: 3.051

3.  Finding the signal by adding noise: The role of noncontrastive phonetic variability in early word learning.

Authors:  Gwyneth C Rost; Bob McMurray
Journal:  Infancy       Date:  2010-11-01

Review 4.  Linear function neurons: structure and training.

Authors:  S E Hampson; D J Volper
Journal:  Biol Cybern       Date:  1986       Impact factor: 2.086

5.  Disjunctive models of Boolean category learning.

Authors:  S E Hampson; D J Volper
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

6.  Feature frequency and hypothesis testing in the acquisition of rule-governed concepts.

Authors:  R T Kellogg
Journal:  Mem Cognit       Date:  1980-05

7.  Using variability to guide dimensional weighting: associative mechanisms in early word learning.

Authors:  Keith S Apfelbaum; Bob McMurray
Journal:  Cogn Sci       Date:  2011-05-24

8.  Taking pigeons to heart: Birds proficiently diagnose human cardiac disease.

Authors:  Victor M Navarro; Edward A Wasserman; Piotr Slomka
Journal:  Learn Behav       Date:  2020-03       Impact factor: 1.986

9.  Word learning emerges from the interaction of online referent selection and slow associative learning.

Authors:  Bob McMurray; Jessica S Horst; Larissa K Samuelson
Journal:  Psychol Rev       Date:  2012-10       Impact factor: 8.934

10.  Semantic significance: a new measure of feature salience.

Authors:  Maria Montefinese; Ettore Ambrosini; Beth Fairfield; Nicola Mammarella
Journal:  Mem Cognit       Date:  2014-04
  10 in total

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