1 / 30

Lecture 3 Non parametric density estimation and classification

Density estimation. . Classification can be based on estimating the density for each of the classes. From a set of observed random vectors, {x1, x2, , xn} ==> p(x)The probability that a vector x, drawn from p(x) falls into region R of the sample space isWhen n vectors are obser

tertius
Télécharger la présentation

Lecture 3 Non parametric density estimation and classification

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

    More Related