Future articles in this series will examine techniques to create a meaningful Web that impose a smaller burden on the data consumer to understand multiple machine-readable formats.
Moreover, for applications with large numbers of functions and classes, enabling Psyco application-wide adds a large burden in machine-code compilation and memory-usage for this caching.
An incremental training method for support vector machine is proposed to alleviate the computing burden of large-scale, high-dimension samples in multi-component gas analyzing.