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Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods., , , , , , and . PRIB, volume 7036 of Lecture Notes in Computer Science, page 179-190. Springer, (2011)Batch mode reinforcement learning based on the synthesis of artificial trajectories., , , and . Annals OR, 208 (1): 383-416 (2013)Editorial., , , , , and . Signal Processing, 90 (8): 2331-2332 (2010)Towards sub-quadratic learning of probability density models in the form of mixtures of trees., , and . ESANN, (2010)A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning., , , , , , , , and . ISBI, page 902-906. IEEE, (2014)Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem., , , and . IEEE Trans. Systems, Man, and Cybernetics, Part B, 39 (2): 517-529 (2009)Classifying pairs with trees for supervised biological network inference., , , and . CoRR, (2014)Unit Commitment using Nearest Neighbor as a Short-Term Proxy., , , and . CoRR, (2016)Learning Inclusion-Optimal Chordal Graphs, and . CoRR, (2012)Machine-Learning Approaches to Power-System Security Assessment.. IEEE Expert, 12 (5): 60-72 (1997)