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List of publications

[11] Mahdi Milani Fard, Yuri Grinberg, Amir-massoud Farahmand, Joelle Pineau and Doina Nitchi,
"Bellman Error Based Feature Generation using Random Projections on Sparse Spaces",
Computing Research Repository CoRR, pp. 5554, 05 2012.
[12] Prakash Panangaden and Doina Nitchi,
"Metrics for Finite Markov Decision Processes",
Computing Research Repository CoRR, pp. 4144, 04 2012.
[13] Norman Francis Ferns, Prakash Panangaden and Doina Nitchi,
"Metrics for Markov Decision Processes with Infinite State Spaces",
Computing Research Repository CoRR, pp. 1386, 01 2012.
[14] Yuri Grinberg and Doina Nitchi,
"On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems",
Journal of Machine Learning Research, pp. 449-457, 05 2012.
[15] S. Still and Doina Nitchi,
"An information-theoretic approach to curiosity-driven reinforcement learning",
Theory in Biosciences, pp. 139-148, 03 2012.
[16] Jordan Frank, Shie Mannor, Joelle Pineau and Doina Nitchi,
"Time Series Analysis Using Geometric Template Matching",
IEEE Transactions on Pattern Analysis and Machine Intelligence, 05 2012.
[17] W. Khreich, ric Granger, Ali Miri and Robert Sabourin,
"Adaptive ROC-Based Ensembles of HMMs Applied to Anomaly Detection",
Pattern Recognition, pp. 208-230, 01 2012.
[18] G. Latombe, ric Granger and Fred A. Dilkes,
"Graphical EM for On-Line Learning of Grammatical Probabilities in Radar Electronic Support",
Applied Soft Computing, pp. 2362-2378, 08 2012.
[19] P.R. Cavalin, Robert Sabourin and C.Y. Suen,
"LoGID: An Adaptive Framework Combining Local and Global Incremental Learning for Dynamic Selection of Ensembles of HMMs",
Pattern Recognition, pp. 3544-3556, 09 2012.
[20] M. Kapp, Robert Sabourin and Patrick Maupin,
"A Dynamic Model Selection Strategy for Support Vector Machine Classifiers",
Applied Soft Computing, pp. 2550-2565, 08 2012.

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