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DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self., , , , , , , , , and 9 other author(s). IEEE Trans. Cogn. Dev. Syst., 10 (4): 1005-1022 (2018)Deep Gaussian Processes for Multi-fidelity Modeling., , , , and . CoRR, (2019)An integrated probabilistic framework for robot perception, learning and memory., , , , , and . ROBIO, page 1796-1801. IEEE, (2016)Variational Auto-encoded Deep Gaussian Processes., , , and . ICLR (Poster), (2016)Active learning for sparse bayesian multilabel classification., , , and . KDD, page 472-481. ACM, (2014)Manifold Relevance Determination, , , and . CoRR, (2012)Inverse Reinforcement Learning via Deep Gaussian Process., , , and . UAI, AUAI Press, (2017)Preferential Bayesian Optimization., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1282-1291. PMLR, (2017)Semi-described and semi-supervised learning with Gaussian processes., and . CoRR, (2015)Gaussian Process Models with Parallelization and GPU acceleration., , , and . CoRR, (2014)