We present the SQL Performance Analyzer, a novel approach in Oracle Database 11g to testing database changes, such as upgrades, parameter changes, schema changes, and gathering op...
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...
Requirements models are essential not just during system implementation, but also to manage system changes post-implementation. Such models should be supported by a requirements m...
Neil A. Ernst, John Mylopoulos, Yijun Yu, Tien Ngu...
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...