Toward the development of a feature-space representation for a complex natural category domain

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Behavior Research Methods

• Publication date

  2017-04-07

• Fields of study

  Mathematics, Computer Science, Medicine

• Identifiers
  DOI 10.3758/s13428-017-0884-8PMID 28389853
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• On Learning Natural-Science Categories That Violate the Family-Resemblance Principle

  2017influential reference
• A Bayesian approach to modeling group and individual differences in multidimensional scaling

  2016cited by this paper
• Caveats for the spatial arrangement method: Comment on Hout, Goldinger, and Ferguson (2013).

  2016cited by this paper
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  2014cited by this paper
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• Journal of Experimental Psychology : General The Versatility of SpAM : A Fast , Efficient , Spatial Method of Data Collection for Multidimensional Scaling

  2012cited by this paper
• Finding the features that represent stimuli.

  2010cited by this paper
• Three case studies in the Bayesian analysis of cognitive models

  2008cited by this paper
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  2008cited by this paper
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  2005cited by this paper
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  2004cited by this paper
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  2003cited by this paper
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  2003cited by this paper
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  2002cited by this paper
• Determining the Dimensionality of Multidimensional Scaling Representations for Cognitive Modeling.

  2001influential reference
• Predicting Similarity Ratings to Faces using Physical Descriptions

  2000cited by this paper
• "Prototypes in the mist: The early epochs of category learning": Correction to Smith and Minda (1998).

  1999cited by this paper
• Prototypes in the Mist: The Early Epochs of Category Learning

  1998cited by this paper
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  1998cited by this paper
• The Psychophysics Toolbox.

  1997cited by this paper
• Essentials of geology

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  1995cited by this paper
• On the Dangers of Averaging Across Subjects When Using Multidimensional Scaling or the Similarity-Choice Model

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  1994influential reference
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  1992cited by this paper
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  1991cited by this paper
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  1988cited by this paper
• Field theory handbook: Including coordinate systems, differential equations, and their solutions

  1988cited by this paper
• Decision rules in the perception and categorization of multidimensional stimuli.

  1988cited by this paper
• Attention, similarity, and the identification-categorization relationship.

  1986cited by this paper
• Induction of category distributions: a framework for classification learning.

  1984cited by this paper
• Multidimensional Scaling, Tree-Fitting, and Clustering

  1980cited by this paper
• Additive clustering: Representation of similarities as combinations of discrete overlapping properties.

  1979cited by this paper
• Additive similarity trees

  1977cited by this paper
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• Pattern recognition and categorization

  1972cited by this paper
• On the genesis of abstract ideas.

  1968cited by this paper
• Earth science.

  1966cited by this paper
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis

  1964cited by this paper
• The analysis of proximities: Multidimensional scaling with an unknown distance function. I.

  1962cited by this paper
• The analysis of proximities: Multidimensional scaling with an unknown distance function. II

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• When unsupervised training benefits category learning

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