INIT/AERFAI Summer School
on MACHINE LEARNING
Beniccasim, Spain
June 2013
Valencia
Lectures
●
Session 1 - Learning Theory
Dr. Gábor Lugosi – University Pompeu Fabra (Spain)
●
Session 2 - Learning with Multiple Classifier Systems
Dr. Gavin Brown – University of Manchester (UK)
● Session 3 - Kernel Methods for Learning
Prof. John Shawe-Taylor – University College London (UK)
● Session 4 - Dissimilarity Representation for Classification
Prof. Robert P.W. Duin – Delft University of Technology (The Netherlands)
Lectures (2)
●
Session 5 - Transfer Learning and Adversarial Learning
Prof. Dr. Tobias Scheffer – University of Potsdam (Germany)
●
Session 6 - Learning from Streaming Data
Dr. João Gama – University of Porto (Portugal)
● Session 7 - ROC Analysis and Performance Evaluation Metrics
Prof. Peter A. Flach – University of Bristol (UK)
● Session 8 - Statistical Analysis of Experiments
Prof. Francisco Herrera – University of Granada (Spain)
Session 1 - Learning Theory
● Quick introduction of ML
● Empirical risk minimization
● Inequalities
● Random projections
● ...and much more math...
Session 2 - Learning with Multiple
Classifier Systems
● Combining voters – estimating possible error
● Sequential (voting)
– Bagging : Bootstrap AGGregatING
– Random/Rotation forests
● Parallel combination (fix error of predictor)
– Boosting
Session 3 - Kernel Methods for
Learning
● ...so much non trivial math :-/
Session 4 - Dissimilarity
Representation for Classification
● Not what is common in data but what is
different
● Distances
Session 5 - Transfer Learning and
Adversarial Learning
● ...looking for smart students :)
● Taking drugs – overlap
● Bayesian methods
● Minimizing risk
● SVN – finding minimum
Session 6 - Learning from
Streaming Data
● ...finally presentation for humans :)
● Huge amount of data in non-static world
● Incorporating, detecting changes, forgetting
● Landmark / Sliding Window
● Top-K elements problem
● Air quality monitoring – rising an alarm when
condition exceeds limits
Session 7, Session 8 - Statistical
Analysis of Experiments
● Confidence bands
● Testing hypotheses
● Correlation
● Enroll in subjects Statistics I, II
● ...I was lying on the beach that time ;-)
Thank You for your attention!
Peñíscola