It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...
This paper describes a Rule Based Service Level Agreement language called RBSLA which is based on RuleML. With this language SLAs can be implemented in a machine readable syntax w...
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
Effective integration of heterogeneous data sources has been studied as the most pressing challenge in various fields; such as, high energy physics, astronomy, and life sciences. ...
Abstract: Molecular Dynamics (MD) is of central importance to computational chemistry and its myriad applications. Here we show that, at even a preliminary stage of development, MD...
Yongfeng Gu, Tom Van Court, Douglas DiSabello, Mar...