We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
This paper presents several parallel FFT algorithms with different degree of communication overhead for multiprocessors in Network-on-Chip(NoC) environment. Three different method...
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
Abstract--We have developed a novel, model-based active contour algorithm, termed "snakules", for the annotation of spicules on mammography. At each suspect spiculated ma...
Gautam S. Muralidhar, Alan Conrad Bovik, J. David ...
This paper suggests that, to match an ideal Internet gateway which rigorously enforces fair sharing among competing TCP connections, an ideal TCP sender should possess two propert...