Mixture models of categorization

By Yves Rosseel. 2002

111 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/afc623f4590fc1d510173a75cadbb0859118cb67

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In Computer Vision and Pattern Recognition

Citations in the corpus

A probabilistic account of exemplar and category generation. (2013, methodology): “…that incorporate distributions over exemplars, such as the rational model (Anderson, 1991), the category density model (Fried & Holyoak, 1984), the mixture model of categorization (Rosseel, 2002), and the family of density estimation models described by Ashby and Alfonso-Reese (1995).”
Multi-Prototype Vector-Space Models of Word Meaning (2010, unknown): “Such models have been widely studied in the Psychology literature (Griffiths et al., 2007; Love et al., 2004; Rosseel, 2002).”
Improving Word Representations via Global Context and Multiple Word Prototypes (2012, methodology): “The multi-prototype approach has been widely studied in models of categorization in psychology (Rosseel, 2002; Griffiths et al., 2009), while Schütze (1998) used clustering of contexts to perform word sense discrimination.”
Similarity-Dissimilarity Competition in Disjunctive Classification Tasks (2013, background): “The results do not necessarily require a hybrid model that includes distinctly separable processes for rule-based and exemplar categorization (e.g., Nosofsky et al., 1994b; Smith and Sloman, 1994; Erickson and Kruschke, 1998; Anderson and Betz, 2001; Rosseel, 2002).”
Generalization and similarity in exemplar models of categorization: Insights from machine learning (2008, background): “has been suggested in the object recognition literature (Poggio & Edelman, 1990) and is emphasized in several categorization models (Love et al., 2004; Rosseel, 2002; Verguts, Ameel, & Storms, 2004).”
Rational approximations to rational models: alternative algorithms for category learning. (2010, background): “Each such cluster is then associated with a simple parametric distribution, and the category distribution as a whole then becomes a mixture model (e.g., Rosseel, 2002; Vanpaemel & Storms, 2008).”