We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
Compiler-controlled speculative execution has been shown to be e ective in increasing the availableinstruction level parallelismILP found in non-numeric programs. An importantpr...
Roger A. Bringmann, Scott A. Mahlke, Richard E. Ha...
With the advance of technology, Public Key Cryptography (PKC) will sooner or later be widely used in wireless sensor networks. Recently, it has been shown that the performance of ...
The search of efficient constructions of ideal secret sharing schemes for families of nonthreshold access structures that may have useful applications has attracted a lot of atten...
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...