We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...
While bit-based, order-based and real-valued genetic algorithms have been wellstudied in the literature, the xed-length subset representation has received relativelylittle attenti...
Kelly D. Crawford, Cory J. Hoelting, Roger L. Wain...
We propose a quantization design technique (estimator) suitable for new compressed sensing sampling systems whose ultimate goal is classification or detection. The design is base...
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
We investigate the peaking phenomenon in the control of large-scale vehicular platoons. These systems are of considerable practical importance as they represent an example of syst...
Mihailo R. Jovanovic, Jeffrey M. Fowler, Bassam Ba...