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courses:be5b33kui:lectures:start [2017/05/15 12:33]
hoffmmat
courses:be5b33kui:lectures:start [2017/05/19 16:14]
svobodat
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 | **11.05.2017** |  12. | Classification - [[https://​sites.google.com/​site/​matejhof/​home|Matej Hoffmann]]. Perceptron, k-nn and relationship to Bayesian classifier - {{:​courses:​be5b33kui:​lectures:​kui-12-classification.pdf|}} ​  | | **11.05.2017** |  12. | Classification - [[https://​sites.google.com/​site/​matejhof/​home|Matej Hoffmann]]. Perceptron, k-nn and relationship to Bayesian classifier - {{:​courses:​be5b33kui:​lectures:​kui-12-classification.pdf|}} ​  |
 | 15.05.2017 |  13. | Learning probabilistic models - [[https://​sites.google.com/​site/​matejhof/​home|Matej Hoffmann]]. Slides from Jiri Matas: {{:​courses:​be5b33kui:​lectures:​Matas_pr_03_parameter_estimation_2016_10_17.pdf|}} - up to slide 15. | | 15.05.2017 |  13. | Learning probabilistic models - [[https://​sites.google.com/​site/​matejhof/​home|Matej Hoffmann]]. Slides from Jiri Matas: {{:​courses:​be5b33kui:​lectures:​Matas_pr_03_parameter_estimation_2016_10_17.pdf|}} - up to slide 15. |
-| 22.05.2017 |  14. | ToBeDecided ​|+| 22.05.2017 |  14. | Solving problems on paper/​blackboard - fully interactive lecture; preparing for the exam a bit |
courses/be5b33kui/lectures/start.txt · Last modified: 2018/02/18 15:41 by svobodat