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.
本系列以后的文章将考察用于创建有意义的Web的一些技术，该Web将减轻数据使用者理解多种机器可读格式的负担。
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.
而且，对于含有大量函数和类的应用程序来说，在整个应用程序范围启用 Psyco，会在机器码编译和用于这一高速缓存的内存使用方面增加大量的负担。
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.
针对大规模高维气体分析样本难以计算的问题，提出一种提升的支持向量机学习方法。
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