—In this paper, a fuzzy estimator based on the Smith predictor for a time-delayed system is proposed. The purpose of this work is to predict the unknown plant time-delay by using...
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
The paper computes the reliability of estimates of image motion parameters. The use of such measures of reliability to weight motion estimates improves significantly the performan...
GOMS is a well-known model that has been successfully used in predicting the performance of humancomputer interaction, identifying usability problems and improving user-interface ...
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...