<正> In this paper,we study the uniform convergence rate of kernel density estimate fnand get optimal uniform rate of convergence without the assumption of compact supportfor kernel function.It is proved that if the density function f satisfies λ-condition andthe kernel function K is λ-good(see section 1),then we havelimsup (n/(logn))λ/(1+2λ)丨n(x)-f(x)丨≤const,a.s.
展开▼
机译:Evaluation of concept drift adaptation for acoustic scene classifier based on Kernel Density Drift Detection and Combine Merge Gaussian Mixture Model