Computational learning theory is a subject which has been advancing rapidly in the last few years. The authors concentrate on the probably approximately correct model of learning, and gradually develop the ideas of efficiency considerations. Finally, applications of the theory to artificial neural networks are considered. Many exercises are included throughout, and the list of references is extensive. This volume is relatively self contained as the necessary background material from logic, probability and complexity theory is included. It will therefore form an introduction to the theory of computational learning, suitable for a broad spectrum of graduate students from theoretical computer science and mathematics.

一本介绍coding theory的书籍，作为入门不错。

一篇今年3月份的外文综述《Compressed Sensing: Theory and Applications》(22页)，我把它译成了中文，原文附后。

从事眼动跟踪研究必不可少的一本书 值得拥有

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Detection, Estimation, and Modulation Theory Part III(完整版) 信号检测、信号处理必备文具书之一!

Elements of the Theory of Computation 计算理论

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