Variational Learning in Nonlinear Gaussian Belief Networks

This chapter contains sections titled: Introduction, Variational Expectation Maximization, Visual Feature Extraction, Handwriting Recognition, Conclusions, Appendix A: The E-Step, Appendix B: The M-Step, Appendix C: M(μ, σ), V(μ, σ) and Their Derivatives for Interesting Nonlinear Functions, Acknowledgments, References