Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
This paper describes a high performance sampling architecture for inference of latent topic models on a cluster of workstations. Our system is faster than previous work by over an...
Abstract. One of the key challenges faced when developing contextaware pervasive systems is to capture the set of inputs that we want a system to adapt to. Arbitrarily specifying r...
Adrian K. Clear, Ross Shannon, Thomas Holland, Aar...
Traditional security policies largely focus on access control requirements, which specify who can access what under what circumstances. Besides access control requirements, the av...
—In this paper, a model of Embedded DC Motor Ethernet Control System is proposed with analysis on transmission time delay and data packet dropout. Based on this model, the ECS is...
Lingbo Zhu, Guanzhong Dai, Li Shin, Xuefang Lin-Sh...