Advanced Machine Learning & Perception
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Advanced Machine Learning & Perception
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Course Handouts This page will contain information and class notes. Also make sure to check the "papers" page for the weekly readings. Please do not distribute the book files, limited access has been given to us by the authors, please respect their wishes. Course Information Text Book: FILES ON COURSEWORKS Topic 1, Linear/Gaussian Modeling, PCA Topic 2, Nonlinear Dimension Reduction Topic 3, SVMs and Large (Relative) Margin Topic 4, SVM Feature and Kernel Selection Topic 5, Maximum Entropy Discrimination Topic 6, MultiTask SVMs Topic 8, Multi-Class & Structured Prediction Topic 9, Structured MAP Decoding & Graphical Models Topic 10, MAP Estimation and Loopy Message Passing Topic 7, Kernels and Probabilistic Kernels Topic 11, Clustering Homework 1 Homework 2, Posted Nov 10, 2010: Solution Code Project Information | ||||||||
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