The following sections of this BookRags Literature Study Guide is offprint from Gale's For Students Series: Presenting Analysis, Context, and Criticism on Commonly Studied Works: Introduction, Author Biography, Plot Summary, Characters, Themes, Style, Historical Context, Critical Overview, Criticism and Critical Essays, Media Adaptations, Topics for Further Study, Compare & Contrast, What Do I Read Next?, For Further Study, and Sources.
(c)1998-2002; (c)2002 by Gale. Gale is an imprint of The Gale Group, Inc., a division of Thomson Learning, Inc. Gale and Design and Thomson Learning are trademarks used herein under license.
The following sections, if they exist, are offprint from Beacham's Encyclopedia of Popular Fiction: "Social Concerns", "Thematic Overview", "Techniques", "Literary Precedents", "Key Questions", "Related Titles", "Adaptations", "Related Web Sites". (c)1994-2005, by Walton Beacham.
The following sections, if they exist, are offprint from Beacham's Guide to Literature for Young Adults: "About the Author", "Overview", "Setting", "Literary Qualities", "Social Sensitivity", "Topics for Discussion", "Ideas for Reports and Papers". (c)1994-2005, by Walton Beacham.
All other sections in this Literature Study Guide are owned and copyrighted by BookRags, Inc.
The classifier is an element that functions to classify packets of information according to their contents.
The classifier operates by recognizing patterns from the string, or arrangement, of information. The patterns consist of clauses, each of which is distinguished by the use of specific identifiers A match between a pattern and the classifier is facilitated by the identifiers.
The need for recognition values means that the classifier imposes rules. This property has been used in some operating systems to build a system where new classifiers and new rules can be generated so as to build new functions into the system.
Several examples of the function of classifiers follow. Programs have been written that utilize classifiers to analyze problems by categorizing historical data. Probabilities of the data with respect to several categories can be generated. This computational behavior has proved very useful in the analysis of genetic and medical biochemical information.
In the future, classifiers will prove useful in expanding a computer's capability as a conduit and analyzer of sensory information. A classifier system may be able to recognize environmental signals and categorize them, even if common signals are separated by a period of days. Such an ability would be useful, for example, in sorting out potential extraterrestrial signals and patterns in emerging language.