In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At ...
A partial scan selection strategy is proposed in which flip-flops are selected via newly proposed dynamic reachability and observability measures such that the remaining hard-to-d...
Michael S. Hsiao, Gurjeet S. Saund, Elizabeth M. R...
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
In open markets and within business and government organizations, selfish agents often face the question of what tasks to work on, and what partners to work with. Optimal solutions...
Abstract. Previous evaluations of server selection methods for federated search have either used metrics which are unconnected with user satisfaction, or have not been able to acco...