Abstract. Dynamic Bayesian networks (DBNs) extend Bayesian networks from static domains to dynamic domains. The only known generic method for exact inference in DBNs is based on dy...
We define a calculus for modeling dynamic linking independently of the details of a particular programming environment. The calculus distinguishes at the language level the notion...
—Noise-tolerant XOR-based conditional keeper for high fan-in dynamic circuits is presented in this paper. Noise immunity is enhanced by conditionally turning on the conditional k...
This paper presents a dynamic (or multi-period) hub location problem. It proposes a branch-and-bound algorithm that uses a Lagrangean relaxation to obtain lower and upper bounds a...
Many parameter estimation problems admit divide and conquer or partitioning techniques in order to reduce a highdimensional task into several reduced-dimension problems. These tec...