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Author Even-Zohar, Y.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2000
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Computer science ♦ Merging ♦ Speech recognition ♦ Probability distribution ♦ Large-scale systems ♦ Artificial intelligence ♦ Testing
Abstract The goal of a classifier is to accurately predict the value of a class given its context. Often the number of classes "competing" for each prediction is large. Therefore, it is necessary to "focus attention" on a smaller subset of these. We investigate the contribution of a "focus of attention" mechanism using enablers to the performance of a word predictor. We then describe a large scale experimental study in which the approach presented is shown to yield significant improvements in word prediction tasks.
Description Author affiliation: Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA (Even-Zohar, Y.)
ISBN 0769508103
ISSN 15224902
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2000-11-16
Publisher Place Chile
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 636.90 kB
Page Count 8
Starting Page 109
Ending Page 116

Source: IEEE Xplore Digital Library