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We apply Bayesian networks and influence diagrams to support decision making under uncertainty and complexity.
We apply graphical models, probabilistic neural networks, random forests, influence diagrams and Markov process models
We work with convolutional/ recurrent neural networks, probabilistic graphical models and Markov process models
1 University Avenue. 3rd Floor.
M5J 2P1. Canada