In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
: We initiate the study of local, sublinear time algorithms for finding vertices with extreme topological properties -- such as high degree or clustering coefficient -- in large so...
We have created a stochastic impulse-response (IR) momentextraction algorithm for RC circuit networks. It employs a newly discovered Feynman Sum-over-Paths Postulate. Full paralle...
Yannick L. Le Coz, Dhivya Krishna, Dusan M. Petran...
— In this paper, we propose a new decoding algorithm for quasi-orthogonal space-time block codes (QOSTBCs) which achieves near Maximum Likelihood (ML) performance while substanti...
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 ...