header image left image
  Current Projects  
  Publications  
  Theses  
  Computer Facilities  
divider   Home   divider
divider   Imprint   divider   Sitemap   divider   Intranet   divider   Contact   divider   Links   divider
THALLINGER LAB
tug logo igb logo
MEDICAL INFORMATICS 2 [444.053, 2VO SS]

LECTURER

Zlatko Trajanoski


DESCRIPTION

Probability theory, statistical inference, descriptive statistics, hypothesis testing, support vector machines for classification, regression with support vector machines, neural networks (perceptron, back propagation, kohonen maps), regression and classification with neural networks, decision trees, hidden markov models.


DOCUMENTS

Introduction 2008 [pdf]
Modelling [pdf]
Introduction (Zlatko Trajanoski) [pdf]
Introduction to SVM (Vojislav Kecman) [pdf]
Basics of Support Vector Machines (Vojislav Kecman) [pdf]
Gene Expression Clustering (Alexander Sturn) [pdf]
Neural Networks (Zlatko Trajanoski) [pdf]
PCA (Zlatko Trajanoski) [pdf]
SOM (Zlatko Trajanoski) [pdf]
Decision Trees (Zlatko Trajanoski) [pdf]
Introduction to Probability Theory (Fatima Sanchez Cabo) [pdf]
Introduction to Statistical Inference (Fatima Sanchez Cabo) [pdf]
ELGA and eHealth (Karl Pfeiffer) [pdf]

Combined document (contains all of the documents above) [pdf]