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Previous revision
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teaching:ss2016:mlcv16 [2016/07/29 16:46]
PD Dr. habil. Rudolph Triebel |
teaching:ss2016:mlcv16 [2016/09/02 12:08] (current)
chiotell |
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| 0. {{teaching:ss2016:mlcv16:linalg_refresh.pdf | Linear Algebra Refresher}}\\ | 0. {{teaching:ss2016:mlcv16:linalg_refresh.pdf | Linear Algebra Refresher}}\\ |
| 1. {{teaching:ss2016:mlcv16:ex1_linalg_probs.pdf | Linear Algebra and Probabilistic Reasoning}} | | 1. {{teaching:ss2016:mlcv16:ex1_linalg_probs.pdf | Linear Algebra and Probabilistic Reasoning}} |
| {{teaching:ss2016:mlcv16:ex1_sol_linalg_probs.pdf | Solution 1}} | |
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| 2. {{teaching:ss2016:mlcv16:ex2_regression_pgms.pdf | Regression and Probabilistic Graphical Models}} | | 2. {{teaching:ss2016:mlcv16:ex2_regression_pgms.pdf | Regression and Probabilistic Graphical Models}} |
| {{teaching:ss2016:mlcv16:ex2_sol_regression_pgms.pdf | Solution 2}} | |
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| 3. {{teaching:ss2016:mlcv16:ex3_deep_nets_hmm.pdf | Neural Networks and Hidden Markov Models}} | | 3. {{teaching:ss2016:mlcv16:ex3_deep_nets_hmm.pdf | Neural Networks and Hidden Markov Models}} |
| {{teaching:ss2016:mlcv16:ex3_sol_deepnets_hmm.pdf | Solution 3}} | |
| {{teaching:ss2016:mlcv16:viterbi_code.zip | viterbi_code}} | |
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| 4. {{teaching:ss2016:mlcv16:ex4_boosting_em.pdf | Boosting and Expectation-Maximization}} | 4. {{teaching:ss2016:mlcv16:ex4_boosting_em.pdf | Boosting and Expectation-Maximization}} |
| {{teaching:ss2016:mlcv16:banknote_auth.zip | banknote_auth.zip}} | {{teaching:ss2016:mlcv16:banknote_auth.zip | banknote_auth.zip}} |
| {{teaching:ss2016:mlcv16:fisher-iris.zip | fisher-iris.zip}} | | {{teaching:ss2016:mlcv16:fisher-iris.zip | fisher-iris.zip}} |
| {{teaching:ss2016:mlcv16:ex4_sol_boosting_em.pdf | Solution 4}} | |
| {{teaching:ss2016:mlcv16:ex4_code_sol.zip | code.zip}} | |
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| 5. {{teaching:ss2016:mlcv16:ex5_kernels_gps.pdf | Kernel methods - Gaussian Processes}} | | 5. {{teaching:ss2016:mlcv16:ex5_kernels_gps.pdf | Kernel methods - Gaussian Processes}} |
| {{teaching:ss2016:mlcv16:ex5_sol_kernels_gps.pdf | Solution 5}} | |
| {{teaching:ss2016:mlcv16:gp_classification.zip | gp_code.zip}} | |
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| 6. {{teaching:ss2016:mlcv16:ex6_sampling.pdf | Sampling methods and Variational Inference}} | | 6. {{teaching:ss2016:mlcv16:ex6_sampling.pdf | Sampling methods and Variational Inference}} |
| {{teaching:ss2016:mlcv16:ex6_sol_sampling.pdf | Solution 6}} | |
| {{teaching:ss2016:mlcv16:particle_filter.zip | particle_filter.zip}} | |
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