Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
— A cognitive system is presented, which is based on coupling a multi-objective evolutionary algorithm with a fuzzy information processing system. The aim of the system is to ide...
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
Coercion combines flexible points, semi-automated optimization and expert guided manual code modification for adapting simulations to meet new requirements. Coercion can improve s...
Traditional RTL power optimization techniques commit transformations at the RTL based on the estimation of area, delay and power. However, because of inadequate power and delay in...