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courses:xp33rod:start [2019/05/22 10:36]
skovirad [Lectures]
courses:xp33rod:start [2019/05/22 10:36]
skovirad [Lectures]
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 |01|19.02.2019|16:​00| VH | Rehearsal of the basic knowledge from probability theory and statistics. Outline of pattern recognition. | |01|19.02.2019|16:​00| VH | Rehearsal of the basic knowledge from probability theory and statistics. Outline of pattern recognition. |
 |02|26.02.2019|15:​15| VH | Bayesian task and its two special cases. Non-Bayesian tasks, formulations only. Conditional independence of features. Gaussian models. | |02|26.02.2019|15:​15| VH | Bayesian task and its two special cases. Non-Bayesian tasks, formulations only. Conditional independence of features. Gaussian models. |
-|03|05.03.2019|15:​15| RŠ | Artificial neural networks. {{ :​courses:​xp33rod:​ann_intro.pdf | slides }}|+|03|05.03.2019|15:​15| RŠ | Artificial neural networks. {{ :​courses:​xp33rod:​ann_intro.pdf | slides }} |
 |04|12.03.2019|15:​15| VH | Data normalization. Experimental evaluation of classifiers. Receiver operator curve (ROC). | |04|12.03.2019|15:​15| VH | Data normalization. Experimental evaluation of classifiers. Receiver operator curve (ROC). |
 |  |//19.03//| | //No lecture.// | //Both VH and RŠ travel this week.// | |  |//19.03//| | //No lecture.// | //Both VH and RŠ travel this week.// |
 |05|26.03.2019|15:​15| VH | Estimation of probabilistic models. Parametric and nonparametric methods. | |05|26.03.2019|15:​15| VH | Estimation of probabilistic models. Parametric and nonparametric methods. |
-|06|02.04.2019|15:​15| RŠ | Convolutional neural networks. {{ :​courses:​xp33rod:​ann_ctd.pdf | slides }}|+|06|02.04.2019|15:​15| RŠ | Convolutional neural networks. {{ :​courses:​xp33rod:​ann_ctd.pdf | slides }} |
 |07|04.04.2019|10:​00| VH | Learning in pattern recognition. //​(Replacement lecture)//| |07|04.04.2019|10:​00| VH | Learning in pattern recognition. //​(Replacement lecture)//|
 |08|09.04.2019|15:​15| VH | Linear classifiers. Perceptron. Learning (training) algorithm. | |08|09.04.2019|15:​15| VH | Linear classifiers. Perceptron. Learning (training) algorithm. |
courses/xp33rod/start.txt · Last modified: 2019/06/04 09:48 by skovirad