Comparing categorization models.

Comparing categorization models.

Four experiments are presented that competitively test rule- and exemplar-based models of human categorization behavior. Participants classified stimuli that varied on a unidimensional axis into 2 categories. The stimuli did not consistently belong to a category; instead, they were probabilistically assigned. By manipulating these assignment probabilities, it was possible to produce stimuli for...

Comparing Categorization Models | A psychological experiment

Comparing decision bound and exemplar models of categorization.

The performance of a decision bound model of categorization (Ashby, 1992a; Ashby & Maddox, in press) is compared with the performance of two exemplar models. The first is the generalized context model (e.g., Nosofsky, 1986, 1992) and the second is a recently proposed deterministic exemplar model (Ashby & Maddox, in press), which contains the generalized context model as a special case. When the...

Comparing Student Software Designs Using Semantic Categorization

This paper examines the problem of studying and comparing student software designs. We propose semantic categorization as a way to organize widely varying data items. We describe how this was used to organize a particular multinational multi-institutional dataset, and discuss the implications of using such techniques for education researchers.

A Framework for Comparing Text Categorization Approaches

For the past few years, text categorization has emerged as an application domain to machine learning techniques. Several approaches have already been proposed. This paper does not present yet another technique. It is rather an attempt to unify the approaches encountered so far. Moreover this state-ofthe-art enables us to stress a shortcoming in earlier research: the lack of evaluation of induct...