This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
Personal Health (pHealth) sensor networks are generally used to monitor the wellbeing of both athletes and the general public to inform health specialists of future and often seri...
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
The emerging ”Computational Grid” infrastructure poses many new opportunities for the developing science of large scale multiagent simulation. The ability to migrate agent expe...
Les Gasser, Kelvin Kakugawa, Brant Chee, Marc Este...
This paper studies a load scheduling strategy with nearoptimal processing time leveraging the computational characteristics of parallel DNA sequence alignment algorithms, specific...