he algorithm is equivalent to InfoMax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization.
The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
標簽：
equivalent
likelihood
algorithm
Sejnowski
上傳時間：
2016-09-17
上傳用戶：Altman
