基于Hybrid样本的学习过程一致收敛速度的界

Bounds on the rate of uniform convergence of learning process based on Hybrid samples

学习过程收敛速度的界是统计学习理论的重要组成部分,这些界决定了学习机器的推广能力.以机会理论和Hybrid变量的概念为基础,讨论了基于Hybrid样本的学习过程一致收敛速度的界,并给出了这些界和函数容量之间的关系.

Bounds on the rate of uniform convergence of learning process are important component partof statistical learning theory and the bounds determine the generalization abilities of learning machines.Based on the chance theory and the definition of Hybrid variable, bounds on the rate of uniform conver-gence of learning process based on hybrid samples are discussed and the relationship between the boundsand the capacity of the set of functions is given.