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Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction.

, , , and . Journal of Chemical Information and Modeling, 56 (11): 2125-2128 (2016)

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Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction., , , and . Journal of Chemical Information and Modeling, 56 (11): 2125-2128 (2016)Online subspace and sparse filtering for target tracking in reverberant environment., , and . SAM, page 329-332. IEEE, (2012)Constructive training of recurrent neural networks using hybrid optimization., and . Neurocomputing, 73 (13-15): 2624-2631 (2010)Identification of Recurrent Patterns in the Activation of Brain Networks., , , , and . NIPS, page 683-691. (2012)Sparse Multiple Kernel Learning for Signal Processing Applications., and . IEEE Trans. Pattern Anal. Mach. Intell., 32 (5): 788-798 (2010)Cold Start Approach for Data-Driven Fault Detection., , , , and . IEEE Trans. Industrial Informatics, 9 (4): 2264-2273 (2013)Granger Causality for Time-Series Anomaly Detection., , , and . ICDM, page 1074-1079. IEEE Computer Society, (2012)A data-based framework for fault detection and diagnostics of non-linear systems with partial state measurement., and . Eng. Appl. of AI, 26 (1): 446-455 (2013)A variational Bayesian framework for group feature selection., and . Int. J. Machine Learning & Cybernetics, 4 (6): 609-619 (2013)Adaptive divided difference filtering for simultaneous state and parameter estimation., and . Automatica, 45 (7): 1686-1693 (2009)