Independent component analysis P9

Chia sẻ: Khinh Kha Kha | Ngày: | Loại File: PDF | Số trang:17

lượt xem

Independent component analysis P9

Mô tả tài liệu
  Download Vui lòng tải xuống để xem tài liệu đầy đủ

ICA by Maximum Likelihood Estimation A very popular approach for estimating the independent component analysis (ICA) model is maximum likelihood (ML) estimation. Maximum likelihood estimation is a fundamental method of statistical estimation; a short introduction was provided in Section 4.5. One interpretation of ML estimation is that we take those parameter values as estimates that give the highest probability for the observations. In this section, we show how to apply ML estimation to ICA estimation. We also show its close connection to the neural network principle of maximization of information flow (infomax). 9.1 THE LIKELIHOOD OF THE ICA MODEL 9.1.1 Deriving the...

Chủ đề:

Nội dung Text: Independent component analysis P9

Đồng bộ tài khoản