Introduction to Detection and Classification
Lectures
June 22nd: Detection
Slides: Detection.
Readings: Chapter I and II in H.V. Poor (1995), An Introuction to Signal Detection and Estimation. 2nd Edition. Springer.
June 23nd: Classification
Slides: Classification.
Readings: Chapter 1, 3 and 5 in B. Schoelkopf and A. Smola (2002), Learning with kernels. MIT Press.
June 28th: Gaussian Processes for Machine Learning
Slides: Bayesian Learning and Gaussian Processes.
Readings: Chapters 1-3 in C. Rasmussen and C. Williams ``Gaussian Processes for Machine Learning''
June 29th: Introduction to Graphical Models
Slides: Graphical Models.
Readings: Chapter 1 and 2 in M. Wainwright1 and M. Jordan ``Graphical Models, Exponential Families, and Variational Inference'' and Chapter 26 in D. Mackay ``Information Theory, Inference, and Learning Algorithms''