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Arrow Lecturers

Session 1 - Learning Theory - SlidesSlides
Dr. Gábor Lugosi – University Pompeu Fabra (Spain)

Session 2 - Learning with Multiple Classifier Systems - SlidesSlides
Dr. Gavin Brown – University of Manchester (UK)

Session 3 - Kernel Methods for Learning - SlidesSlides
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 - SlidesSlides
Prof. Dr. Tobias Scheffer – University of Potsdam (Germany)

Session 6 - Learning from Streaming Data - SlidesSlides
Dr. João Gama – University of Porto (Portugal)

Session 7 - ROC Analysis and Performance Evaluation Metrics - SlidesSlides
Prof. Peter A. Flach – University of Bristol (UK)

Session 8 - Statistical Analysis of Experiments - SlidesSlides
Prof. Francisco Herrera – University of Granada (Spain)

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