Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
Abstract. In the Internet era, the development of Web applications has impressively evolved and is characterized by a large degree of complexity. To this end, software community ha...
This paper investigates scheduling loosely coupled task-bundles in highly heterogeneous distributed systems. Two allocation quality metrics are used in pay-per-service distributed ...
It is essential that a monitoring system is being designed with performance and scalability in mind. But due to the diversity and complexity of both the monitoring and the monitore...
Metric distances and the more general concept of dissimilarities are widely used tools in instance-based learning methods and very especially in the nearestneighbor classification...