Abstract
Concentration of measure is becoming an indispensable tool in many machine learning applications. We will give several examples of the use of such inequalities in the area of learning with kernels and support vector machines (SVMs).
Concentration of measure is becoming an indispensable tool in many machine learning applications. We will give several examples of the use of such inequalities in the area of learning with kernels and support vector machines (SVMs).