ECE 271B. Statistical Learning II (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/ECE.html#ece271b
Description
Linear discriminants; the Perceptron; the margin and large margin classifiers; learning theory; empirical vs. structural risk minimization; the VC dimension; kernel functions; reproducing kernel Hilbert spaces; regularization theory; Lagrangian optimization; duality theory; the support vector machine; boosting; Gaussian processes; applications. Recommended preparation: ECE 109. Prerequisites: ECE 271A; graduate standing.
Prerequisite courses
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Successor courses
ECE 271B is a prerequisite of the following 5 courses: