We present an empirical analysis of symbolic prototype learners for synthetic and real domains. The prototypes are learned by modifying the minimum-distance classiier to solve problems with symbolic attributes, attribute weighting, and its inability to learn multiple prototypes for a class. These extensions are implemented in SNMC. In the second half of this paper, we provide empirical analysis...

We suggest a model of categorization based on prototypes. A set of entities, identified with some finite dimensional Euclidian space, is partitioned into a finite number of categories. Such a categorization is said to be generated by extended prototypes if there is a set of distinguished entities, one for each category, such that the categorization is determined by proximity to these prototypic...

-In this paper we consider a technique for pattern classification based upon the development of prototypes which capture the distinguishing features ("disjunctive prototypes") of each pattern class and, via cross-correlation with incoming test images, enable efficient pattern classification. We evaluate such a classification procedure with prototypes based on the images per se (direct code), Ga...

Rapid 3D-Prototyping is an established technique that converts digital image data of any 3D structure to a physical 3D model. It has been used for a long time in industry for making prototypes of any new products. The state-of-the-art medical imaging facilities such as computed tomography and magnetic resonance imaging (and possibly echocardiography in the future) provide precise digital inform...