Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing the number of attributes considered in a task. We i...
Abstract— In this paper we investigate the problem of designing an input signal for a Multi-Input Multi-Output plant to minimize a control-oriented criterion. By employing Ljungâ...
Given a set of records, a threshold value t and a similarity function, we investigate the problem of finding all pairs of records such that similarity between each pair is above t....
We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
This paper investigates an optimization technique for reasoning with qualified number restrictions in the description logic ALCQHR+ . We present a hybrid architecture where a stan...