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...
Probabilistic arithmetic, where the ith output bit of addition and multiplication is correct with a probability pi, is shown to be a vehicle for realizing extremely energy-efficie...
Jason George, B. Marr, Bilge E. S. Akgul, Krishna ...
Abstract. This paper presents two different efficiency-enhancement techniques for probabilistic model building genetic algorithms. The first technique proposes the use of a mutatio...