COPEM 2013 - International Workshop on Solving Complex Machine Learning problems with Ensemble Methods

Ensemble methods are widely utilized within the machine learning community due to their accuracy-improving and robustness attributes. Since even elementary ensemble approaches outperform single learners, multiple classifier systems are the go-to solution in applications where higher predictive performance is required. The emphasis in COPEM is to discuss ensemble strategies that solve difficult machine learning tasks. This workshop will bring together the ensemble method community and researchers that are not ensemble-experts but could benefit from the use of such techniques to confront interesting research challenges. The goals of COPEM are: a) to discuss state-of-the-art approaches that exploit ensembles to solve complex machine learning problems and, b) to bring the community together and discuss interesting future applications. The ultimate objective of COPEM is not only to present high quality research papers but, more importantly, to dynamically initiate new collaborations that will work towards new challenges. Following this direction, the workshop will feature networking activities.