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--- cs401r_w2016 [2016/01/02 23:26]
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+++ cs401r_w2016 [2016/03/17 22:33]
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@@ Line 9: / Line 9: @@
 [[cs401r_w2016:lab2|Lab 2 - Bayesian concept learning]]
-[[cs401r_w2016:lab3|Lab 3 - basic PDF library]]
+[[cs401r_w2016:lab5|Lab 3 - MNIST with KDE]]
 [[cs401r_w2016:lab4|Lab 4 - Gaussian process regression]]
-[[cs401r_w2016:lab5|Lab 5 - MNIST with KDE]]
+[[cs401r_w2016:lab14|Lab 5 - Large-scale Gaussian process regression]]
-[[cs401r_w2016:lab6|Lab 6 - Kalman filter]]
+[[cs401r_w2016:lab13|Lab 6 - Expectation maximization]]
-[[cs401r_w2016:lab7|Lab 7 - localization with particle filters]]
+[[cs401r_w2016:lab7|Lab 7 - Kalman filter]]
-[[cs401r_w2016:lab8|Lab 8 - LDA, wikipedia, and Gibbs sampling]]
+[[cs401r_w2016:lab8|Lab 8 - Localization with particle filters]]
-[[cs401r_w2016:lab9|Lab 9 - improved generative images with MCMC]]
+[[cs401r_w2016:lab9|Lab 9 - LDA, General Conference, and Gibbs sampling]]
-[[cs401r_w2016:lab10|Lab 10 - Bayesian super resolution]]
+[[cs401r_w2016:lab10|Lab 10 - Metropolis Hastings and Hamiltonian MCMC]]
+[[cs401r_w2016:lab12|Lab 11 - Recommender system]]
+----------------
+Old labs we probably won't use
+[[cs401r_w2016:lab3|Lab 3 - basic PDF library]]
-[[cs401r_w2016:lab11|Lab 11 - weather data with BP]]
+[[cs401r_w2016:lab11|Lab 11 - Bayesian super resolution]]
-[[cs401r_w2016:lab12|Lab 12 - recommender system]]

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