Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
Robert B. Gramacy, Herbert K. H. Lee, William G. M...
Background: Supertree methods comprise one approach to reconstructing large molecular phylogenies given multi-marker datasets: trees are estimated on each marker and then combined...
: In this work we propose a technique for spatial and temporal partitioning of a logic circuit based on the nodes activity computed by using a simulation at an higher level of ion....
This paper discusses our approach to the problem of refining high-level simulation specifications. Our domain is simulated combat training for tank platoon members. Our input is a...
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...