Flexible Pattern Recognizers are also Concept Formers
File(s)
Date
1973Author
Uhr, Leonard
Publisher
University of Wisconsin-Madison Department of Computer Sciences
Metadata
Show full item recordAbstract
The typical pattern recognizer (PR) applies a set of characterizers to an input. Each characterizer implies a set of possible names, and the single most highly implied name is chosen.
The typical concept former (CF) applies a binary test to the input. This test implies either another test to apply, or a name to output.
Pattern recognizers have almost always applied probabilistic (usually two-valued but occasionally multi- valued) characterizers in parallel; whereas concept formers have always applied deterministic two-valued tests, in series.
This paper presents and examines simple computer programs (coded in EASEy-2, a language that is relatively easy to understand) for (1)parallel "pattern recognition" (NAMER), and (2)serial "concept formation" (CONCEIVER).
Finally, these programs are generalized to give a single " flexible" pattern recognizer-concept former (FLEXIBLE PR-CF) that combines the desirable features of parallel-probabilistic and serial-deterministic systems.`
Permanent Link
http://digital.library.wisc.edu/1793/57796Citation
TR175