模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern

recognition and learning theory are reviewed in a two-class

pattern classification setting. This basic model best illustrates

intuition and analysis techniques while still containing the essential

features and serving as a prototype for many applications.

Topics discussed include nearest neighbor, kernel, and histogram

methods, Vapnik–Chervonenkis theory, and neural networks. The

presentation and the large (thogh nonexhaustive) list of references

is geared to provide a useful overview of this field for both

specialists and nonspecialists.