XX International Conference of the Chilean Computer Science Society (SCCC'00) Using Focus of Attention in Classification Santiago, Chile November 16-November 18 ISBN: 0-7695-0810-3
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.
Index Terms:
pattern classification; text analysis; learning (artificial intelligence); focus of attention; classification; word predictor; word prediction
Citation:
Y. Even-Zohar, "Using Focus of Attention in Classification," sccc, pp.109, XX International Conference of the Chilean Computer Science Society (SCCC'00), 2000 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||