Tentative calendar (Feb 2nd to Apr 22nd )
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Feb 2 Linear Regression |
4 Bayesian Linear Regression |
6 Bayesian Linear Regression |
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9 Bayesian Model Comparison |
11 Evidence Approximation |
13 Go over homework
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16 Discriminant Functions (not perceptrons) |
18 Probabilistic Generative Models |
20 Continue Lecture
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23 Review |
25 Test 1 |
27 Laplace Approximation |
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Mar 2 Go over test |
4 Bayesian Logistic Regression |
6 Project 1 Due |
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9 Spring Break |
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16 Dual Representations
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18 RBFs
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20 SVM |
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23 SVM |
25 SVM
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27 Assign Project 2 Performance Evaluation/Training |
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30 SVM/RVM |
Apr 1 RVM |
3 RVM
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6 Test 2
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8 K-means/FCM |
10 Mixtures of Gaussians/EM
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13 Mixtures of Gaussians/EM
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15 Mixtures of Gaussians/EM |
17 Project 2 Due
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20 Review homework |
22 Review |
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