Multivariate Density Estimation: An SVM Approach

We formulate density estimation as an inverse operator problem. We then use convergence results of empirical distribution functions to true distribution functions to develop an algorithm for multivariate density estimation. The algorithm is based upon a Support Vector Machine (SVM) approach to solvi...

詳細記述

書誌詳細
主要な著者: Mukherjee, Sayan, Vapnik, Vladimir
言語:en_US
出版事項: 2004
オンライン・アクセス:http://hdl.handle.net/1721.1/7260