Traditional statistics is based on assumption that samples are infinite, so are most of current machines learning methods. However, in many practical cases, samples are limited. Most of existing methods based on traditional statistical theory may not work well for the situation of limited samples. Statistical Learning Theory (SLT) is a new statistical theory framework established from finite samples. SLT provides a powerful theory fundament to solve machine learning problems with small samples. Support Vect...
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