Welcome to DAMAS laboratory's website
DAMAS is a research group supervised by Dr. Brahim Chaib-draa, professor at the Computer Science and Software Engineering Department of Laval University. Its research interests are essentially:
For additional information, please contact Pr. B. Chaib-draa
A KNN Based Kalman Filter Gaussian Process Regression.
Yali Wang and Brahim Chaib-draa, In International Joint Conference on Artificial Intelligence (IJCAI), 2013 (bib).
Repeated games for multiagent systems: a survey.
Andriy Burkov, Brahim Chaib-draa and , In The Knowledge Engineering Review, 1--30, 2013, (pdf) (bib).
Building adaptive dialogue systems via Bayes-adaptive POMDPs.
Shaowei Png, Joelle Pineau, Brahim Chaib-draa and , In IEEE Journal of Selected Topics in Signal Processing, 917--927, 2012, (pdf) (bib).
|Efficient Optimization for Sparse Gaussian Process Regression|
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
(in Proc of NIPSí2013)
Ya Li Wang
Summary : The authors propose an efficient optimization algorithm for selecting a subset of training data to induce sparsity for Gaussian process regression. The algorithm estimates an inducing set and the hyperparameters using a single objective, either the marginal likelihood or a variational free energy. [...]