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Program schedule.
09h00 - ECML/PKDD plenary session 11h30 - Invited talk: Anna Choromanska - Logarithmic Time Online Multiclass prediction 12h20 - Paul Mineiro and Nikos Karampatziakis. Fast Label Embeddings for Extremely Large Output Spaces 12h45 - Maxime Gasse, Alex Aussem and Haytham Elghazel. On the Factorization of the Label Conditional Distribution in the context of Multi-Label Classification 13h10 - Lunch break 14h00 - ECML/PKDD plenary session 15h00 - Invited talk: Nicolas Usunier - Learning embeddings in multi-relational domains 15h50 - Coffee break 16h15 - Noureddin Sadawi, Crina Grosan, Ivan Olier, Larisa Soldatova, and Ross D. King. Multiple Task Learning for Quantitative Structure Activity Relationship Learning: Use of a Natural Metric 16h40 - Antti Airola and Tapio Pahikkala. Large scale greedy feature-selection for multi-target learning 17h05 - Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier and Eric Gaussier. Multi-class to Binary reduction of Large-scale classification Problems 17h30 - Panel discussion 18h00 - ECML/PKDD farewell party 19h30 - Workshop dinner in a local restaurant |
