Algorithmic Learning Theory and Discovery Science 2012 Conference

The 23rd International Conference on Algorithmic Learning Theory (ALT 2012), which was held in Lyon, France, October 29–31, 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science (DS 2012). The technical program of ALT 2012 contained 23 papers selected from 47 submissions, and five invited talks. The invited talks were presented in joint sessions of both conferences.

ALT 2012 was dedicated to the theoretical foundations of machine learning and took place in the historical building of the Université Lumière Lyon 2 (berges du Rhônes). ALT provides a forum for high-quality talks with a strong theoretical background and scientific interchange in areas such as inductive inference, universal prediction, teaching models, grammatical inference, complexity of learning, online learning, semi-supervised and unsupervised learning, clustering, statistical learning, regression, bandit problems, Vapnik-Chervonenkis dimension, probably approximately correct learnin

DS 2012 provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The scope of the conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, as well as their application to knowledge discovery. Very welcome are papers that focus on dynamic and evolving data, models and structures.

23rd International Conference on Algorithmic Learning Theory

23rd International Conference on Algorithmic Learning Theory