Machine learning aims at extracting information from digital signals. Although most of real systems are deterministic, considering them as stochastic allows covering a wide range of behaviours with a common framework. It also prevent from developping dedicated and not reusable models that would moreover be much more sophisticated and complex. The MaLIS reserch group considers applications to pattern recognition and information extraction, unsupervised clustering and optimal controle via reinforcement learning.