CMLA

Teaching

M1 Math ENS Cachan - Apprentissage statistique

TD6. Maximum Likelihood and Data-Dependant Partitioning.
TD5. Random Forests and Averaging Classifiers.
TD4. The Nearest Neighbor Rule.
TD3. Risk Minimization.
TD2. Online Learning.
TD1. Concentration inequalities.

MPRI 1.24 - Probabilistic aspects of computer science

TD8. Probabilistic Automata.
TD7. MDP - Average reward for unichains.
TD6. MDP - Reachability objectives.
TD5. MDP - Modelling and finite-horizon objectives.
TD4. Continuous-time Markov chains.
TD3. Random walks and applications.
TD2. Markov chains in the long run.
TD1. Discrete-time Renewal Processes and First Markov Chains.

L3 Info ENS Cachan - Projet Programmation 2

Partie 3. Des générateurs d'instances.
Partie 2. Une petite collection de jeux à un joueur.
Partie 1. Interface graphique et Démineur.

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