gradE


    List of parameters required for the optimization



  Internal functions for computing the cost function and the gradient of
  the rotation optimization.


internal

Variational Bayesian algorithms for learning canonical correlation analysis (CCA), inter-battery factor analysis (IBFA), and group factor analysis (GFA). Inference with several random initializations can be run with the functions CCAexperiment() and GFAexperiment().

gradE: Compute the cost function and its gradient

Description

Usage

Arguments

Value