statistical learning theory

基本解釋

Support Vector Machines (SVM) is a novel powerful learning method developed on Statistical Learning Theory, and of many special advantages.
支持向量機(jī)是在統(tǒng)計(jì)學(xué)習(xí)理論基礎(chǔ)上發(fā)展而來(lái)的一種新的通用學(xué)習(xí)方法，具有很多獨(dú)特的優(yōu)點(diǎn)。
A support vector machine is a new machine learning technique developed on the basis of statistical learning theory, and it is the most successful realization of statistical learning theory.
支持向量機(jī)是在統(tǒng)計(jì)學(xué)習(xí)理論基礎(chǔ)上發(fā)展起來(lái)的一種新的機(jī)器學(xué)習(xí)方法，同時(shí)也是到目前為止統(tǒng)計(jì)學(xué)習(xí)理論最成功的實(shí)現(xiàn)。
The support vector machine is a novel type of learning technique, based on statistical learning theory, which uses Mercer kernels for efficiently performing computations in high dimensional spaces.
支撐矢量機(jī)是根據(jù)統(tǒng)計(jì)學(xué)習(xí)理論提出的一種新的學(xué)習(xí)方法，即使用核函數(shù)在高維空間里進(jìn)行有效的計(jì)算。

statistical learning theory SLT 統(tǒng)計(jì)學(xué)習(xí)理論
slt statistical learning theory 統(tǒng)計(jì)學(xué)習(xí)理論
the statistical learning theory 統(tǒng)計(jì)學(xué)習(xí)理論
complex statistical learning theory 復(fù)統(tǒng)計(jì)學(xué)習(xí)理論
Introduction to Statistical Learning Theory 統(tǒng)計(jì)學(xué)習(xí)理論導(dǎo)論;統(tǒng)計(jì)學(xué)習(xí)理論入門