Title:
staticlearningwithekernelmethods
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Description: Statistical learning theory is based on a more solid theoretical basis, in order to solve the learning problems of limited samples provides a unified framework. It will be incorporated into many existing methods, which could help solve many of the original difficult to resolve problems (such as neural network structure and parameters selection) the same time. Developed on the basis of this theory, a new universal learning methods: support vector machine (Support Vector Machine, SVM). It has been shown a lot of excellent performance and has become the hotspot of machine learning research in the field.
To Search:
- [svm] - Use support vector machine as the distin
- [minirecorder] - Only the recording function, and only wh
File list (Check if you may need any files):
统计学习及核方法简介.pdf
