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GLOBECOM
2009
IEEE
13 years 11 months ago
Tame Pool-Based Pairwise Key Predistribution for Large-Scale Sensor Networks
Many existing pairwise key establishment in sensor networks were developed based on the polynomial-based method. However, this method cannot offer the basic authentication function...
Yen-Hua Liao, Chin-Laung Lei, Ai-Nung Wang, Wen-Ch...
UAI
2003
13 years 9 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
CORR
2010
Springer
150views Education» more  CORR 2010»
13 years 8 months ago
Extraction of Symbolic Rules from Artificial Neural Networks
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
S. M. Kamruzzaman, Md. Monirul Islam
PERCOM
2006
ACM
14 years 7 months ago
An E-Learning Platform for Academy and Industry Networks
The European project COMSON (Coupled Multiscale Simulation and Optimization in Nanoelectronics) is a Marie Curie RTN project that involves five partners from academia and three fr...
Giuseppe Ali, Eleonora Bilotta, Lorella Gabriele, ...
IROS
2008
IEEE
181views Robotics» more  IROS 2008»
14 years 2 months ago
Scalable Bayesian human-robot cooperation in mobile sensor networks
— In this paper, scalable collaborative human-robot systems for information gathering applications are approached as a decentralized Bayesian sensor network problem. Humancompute...
Frédéric Bourgault, Aakash Chokshi, ...