Session 1 - Learning Theory - Slides
Dr. Gábor Lugosi – University Pompeu Fabra (Spain)
Session 2 - Learning with Multiple Classifier Systems - Slides
Dr. Gavin Brown – University of Manchester (UK)
Session 3 - Kernel Methods for Learning - Slides
Prof. John Shawe-Taylor – University College London (UK)
Session 4 - Dissimilarity Representation for Classification - Read this before the lecture - Download database for the lecture
Prof. Robert P.W. Duin – Delft University of Technology (The Netherlands)
Session 5 - Transfer Learning and Adversarial Learning - Slides
Prof. Dr. Tobias Scheffer – University of Potsdam (Germany)
Session 6 - Learning from Streaming Data - Slides
Dr. João Gama – University of Porto (Portugal)
Session 7 - ROC Analysis and Performance Evaluation Metrics - Slides
Prof. Peter A. Flach – University of Bristol (UK)
Session 8 - Statistical Analysis of Experiments - Slides
Prof. Francisco Herrera – University of Granada (Spain) |