Pattern Recognition WS 20/21

In this video, we learn how to estimate the parameters of the logistic function effectively. Watch on:FAU TVYouTube

In this video, we look into the actual logistic regression and how to formulate the optimization problem. Watch on:FAU TVYouTube

In this video, we look into further probability density and mass functions of the exponential family. Watch on:FAU TVYouTube

In this video, we combine the logistic function with the Gaussian probability density function. Watch on:FAU TVYouTube

In this video, we introduce the logistic function. Watch on:FAU TVYouTube

In this video, we look into the optimality of the Bayes Classifier. Watch on:FAU TVYouTube

In this short video, we introduce probability theory, conditional probability, class conditionals, priors, and posteriors. Watch on:FAU TVYouTube

In this video, we present the postulates of pattern recognition and measures of evaluation for classification systems. Watch on:FAU TVYouTube

In this video, we introduce the lecture and look into the first example for pattern recognition. Watch on:FAU TVYouTube