This paper proposes a new smart crossover operator for a Pittsburgh Learning Classifier System. This operator, unlike other recent LCS approaches of smart recombination, does not ...
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Many industrial applications with real-time demands are composed of mixed sets of tasks with a variety of requirements. These can be in the form of standard timing constraints, su...
In personal communications applications, users communicate via wireless with a wireline network. The wireline network tracks the current location of the user, and can therefore ro...
Upamanyu Madhow, Michael L. Honig, Kenneth Steigli...
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...