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Kernels for Vector-Valued Functions: A Review.

, , and . Foundations and Trends in Machine Learning, 4 (3): 195-266 (2012)

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Elastic-net regularization in learning theory., , and . J. Complexity, 25 (2): 201-230 (2009)On the Sample Complexity of Subspace Learning., , and . NIPS, page 2067-2075. (2013)Learning, Regularization and Ill-Posed Inverse Problems., , , , and . NIPS, page 1145-1152. (2004)Holographic Embeddings of Knowledge Graphs., , and . AAAI, page 1955-1961. AAAI Press, (2016)Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network., , , and . IROS, page 4904-4911. IEEE, (2016)Combining sensory modalities and exploratory procedures to improve haptic object recognition in robotics., , , and . Humanoids, page 117-124. IEEE, (2016)Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives., , , , and . Front. Robotics and AI, (2016)Model Selection for Regularized Least-Squares Algorithm in Learning Theory., , and . Foundations of Computational Mathematics, 5 (1): 59-85 (2005)Are we Done with Object Recognition? The iCub robot's Perspective., , , , and . CoRR, (2017)Fast approximation of orthogonal matrices and application to PCA., and . CoRR, (2019)