Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: In the context of big data era, data processing and analysis are facing unprecedented challenges, especially the real-time processing and efficient analysis of massive data have become ...

The phenomenal success of our integrated circuits managed to obscure an awkward fact: they're not always the best way to solve problems. The features of modern computers—binary operations, separated ...

Mathematics of Operations Research, Vol. 18, No. 1 (Feb., 1993), pp. 71-97 (27 pages) This paper is concerned with the design and probabilistic analysis of algorithms for the maximum-flow problem and ...

Algorithms define the rules, conditions, and methodology that an AI will use when processing and analyzing data. Written by eWEEK content and product recommendations are editorially independent. We ...

Abstract: In order to resolve the problems of low tracking accuracy and weak self-protection in armored vehicle systems, an active and passive on-armored vehicle radar tracking system is presented. To ...