Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
Abstract—In this paper we illustrate scalable parallel performance for the Time Warp synchronization protocol on the L and P variants of the IBM Blue Gene supercomputer. Scalable...
David W. Bauer, Christopher D. Carothers, Akintayo...
Wireless sensor networks have been proposed for many location-dependent applications. In such applications, the requirement of low system cost prohibits many range-based methods f...
Distributed Lagrangian Relaxation Protocol (DisLRP) has been proposed to solve a distributed combinatorial maximization problem called the Generalized Mutual Assignment Problem (G...
Whenever rational agents form coalitions to execute tasks, doing so via a decentralized negotiation process—while more robust and democratic—may lead to a loss of efficiency ...
Georgios Chalkiadakis, Edith Elkind, Maria Polukar...