Appendix
2: Introduction to Statistical learning
Jedediah
Singer and Gabriel Kreiman
Children's Hospital Harvard Medical
School and Swartz Center for Theoretical Neuroscience, Harvard University
This is a brief introduction to the field of statistical learning with multiple references to the mathematical literature. We discuss the setting of the learning problem, how supervised learning problems can be formulated and addressed and several algorithms to learn from data including Fisher linear discriminant, nearest neighbors, support vector machines. The discussion is linked to a neurophysiological recordings from ensembles of neurons.
Key words: