Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features von Bouboulis, Pantelis, Chouvardas, Symeon, Theodoridis, Sergios

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Complex Support Vector Machines for Regression and Quaternary Classification von Bouboulis, Pantelis, Theodoridis, Sergios, Mavroforakis, Charalampos, Evaggelatou-Dalla, Leoni

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Extension of Wirtinger's Calculus to Reproducing Kernel Hilbert Spaces and the Complex Kernel LMS von Bouboulis, Pantelis, Theodoridis, Sergios

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Robust Linear Regression Analysis- A Greedy Approach von Papageorgiou, George, Bouboulis, Pantelis, Theodoridis, Sergios

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Robust Nonlinear Regression: A Greedy Approach Employing Kernels With Application to Image Denoising von Papageorgiou, George, Bouboulis, Pantelis, Theodoridis, Sergios

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Adaptive Kernel-Based Image Denoising Employing Semi-Parametric Regularization von Bouboulis, Pantelis, Slavakis, Konstantinos, Theodoridis, Sergios

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Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients von Bouboulis, P., Slavakis, K., Theodoridis, S.

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The Augmented Complex Kernel LMS von Bouboulis, P., Theodoridis, S., Mavroforakis, M.

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Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case von Slavakis, K., Bouboulis, P., Theodoridis, S.

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Adaptive Kernel-B ased Image Denoising Employing Semi-Parametric Regularization von BOUBOULIS, Pantelis, SLAVAKIS, Konstantinos, THEODORIDIS, Sergios

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The Complex Gaussian Kernel LMS Algorithm von Bouboulis, Pantelis, Theodoridis, Sergios

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Robust kernel-based regression using Orthogonal Matching Pursuit von Papageorgiou, George, Bouboulis, Pantelis, Theodoridis, Sergios

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Editorial - Neural Networks and Learning Systems Come Together von Liu, Derong

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Neural networks and learning systems come together von Baesens, Bart, Bouboulis, Pantelis, Cruces, Sergio, Domeniconi, Carlotta, Ikeda, Shiro, Li, Xuelong, Melin, Patricia, Rao, V. Sree Hari, Schuller, Björn W, Shen, Yi, Tang, Huajin, Wang, Cong, Yang, Jian, Zhao, Dongbin, Liu, Derong

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Extension of Wirtinger calculus in RKH spaces and the Complex Kernel LMS von Bouboulis, P, Theodoridis, S

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Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces von Bouboulis, P, Theodoridis, S, Slavakis, K

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Online Learning in Reproducing Kernel Hilbert Spaces von Slavakis, Konstantinos, Bouboulis, Pantelis, Theodoridis, Sergios

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Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features von Bouboulis, Pantelis, Chouvardas, Symeon, Theodoridis, Sergios

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Robust Non-linear Regression: A Greedy Approach Employing Kernels with Application to Image Denoising von Papageorgiou, George, Bouboulis, Pantelis, Theodoridis, Sergios

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Efficient KLMS and KRLS Algorithms: A Random Fourier Feature Perspective von Bouboulis, Pantelis, Pougkakiotis, Spyridon, Theodoridis, Sergios

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