DocumentCode :
2711272
Title :
Using focus of attention in classification
Author :
Even-Zohar, Yair
Author_Institution :
Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
fYear :
2000
fDate :
2000
Firstpage :
109
Lastpage :
116
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
Keywords :
learning (artificial intelligence); pattern classification; text analysis; classification; focus of attention; word prediction; word predictor; Artificial intelligence; Computer science; Large-scale systems; Merging; Probability distribution; Speech recognition; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science Society, 2000. SCCC '00. Proceedings. XX International Conference of the Chilean
Conference_Location :
Santiago
ISSN :
1522-4902
Print_ISBN :
0-7695-0810-3
Type :
conf
DOI :
10.1109/SCCC.2000.890398
Filename :
890398
Link To Document :
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