Complexity, or in other words compactness, of models generated by rule learners is one of often neglected issues, although it has a profound effect on the success of any project t...
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...
A framework for performance analysis of parallel discrete event simulators is presented. The centerpiece of this framework is a platform-independent Workload Specification Langua...
Vijay Balakrishnan, Peter Frey, Nael B. Abu-Ghazal...
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Reconfigurable hardware is ideal for use in Systems-on-a-Chip, as it provides both hardware-level performance and post-fabrication flexibility. However, any one architecture is ra...