This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
Dynamic system reconfiguration techniques are presented that can enable the systematic evolution of software systems due to unanticipated changes in specification or requirements. ...
This paper presents a technique to enhance a kinematically controlled virtual character with a generic class of dynamic responses to small perturbations. Given an input motion seq...
In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
Dedicated machine constraint is one of the new challenges introduced in photolithography machinery of the semiconductor manufacturing system due to natural bias. Previous research...
Huy Nguyen Anh Pham, Arthur M. D. Shr, Peter P. Ch...