We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
Robert H. Oehmke, Janis Hardwick, Quentin F. Stout
The abstractions and protocol mechanisms that form the basis for inter-agent communications can significantly impact the overall design and effectiveness of Mobile Agent systems. W...
Mudumbai Ranganathan, Marc Bednarek, Doug Montgome...
Abstract. This work describes the use of genetic algorithms for automating the photogrammetric network design process. When planning a photogrammetric network, the cameras should b...
We present a design tool for automated synthesis of embedded systems on distributed COTS-based platforms. Our synthesis tool consists of (1) a graphical user interface for input o...
Dong-In Kang, Richard Gerber, Leana Golubchik, Jef...
For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called Sample-Augment algorithms in [11]. The algor...