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Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space
IEEE Transactions on Neural Networks and Learning Systems, 2019Multitask learning aims to improve the performance on related tasks by exploring the interdependence among them. Existing multitask learning methods explore the relatedness among tasks on the basis of the input features and the model parameters.
Xinmei Tian +4 more
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Linear and multilinear algebra, 2018
A reproducing kernel Hilbert space is a Hilbert space of complex-valued functions on a (non-empty) set Ω, which has the property that point evaluation is continuous on for all .
U. Yamancı, M. Garayev, Ceren Çelik
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A reproducing kernel Hilbert space is a Hilbert space of complex-valued functions on a (non-empty) set Ω, which has the property that point evaluation is continuous on for all .
U. Yamancı, M. Garayev, Ceren Çelik
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Boosting Shape Registration Algorithms via Reproducing Kernel Hilbert Space Regularizers
IEEE Robotics and Automation Letters, 2019The essence of most shape registration algorithms is to find correspondences between two point clouds and then to solve for a rigid body transformation that aligns the geometry.
Steven A. Parkison +5 more
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Reproducing kernel Hilbert spaces
2011Hinter der Konstruktion von Hilberträumen mit reproduzierendem Kern verbirgt sich eine Theorie von Bijektionen bzw. Transformationen, die einen positiv definiten Kern mit einem Hilbertraum von Funktionen verbindet. Das Ziel dieser Diplomarbeit ist es einen Überblick über die Theorie der Hilberträume mit reproduzierendem Kern und ihrer Anwendungen zu ...
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Causal Discovery via Reproducing Kernel Hilbert Space Embeddings
Neural Computation, 2014Causal discovery via the asymmetry between the cause and the effect has proved to be a promising way to infer the causal direction from observations. The basic idea is to assume that the mechanism generating the cause distribution p(x) and that generating the conditional distribution p(y|x) correspond to two independent natural processes and thus p(x)
Chen, Z. +3 more
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Reproducing kernel Hilbert space method for nonlinear boundary‐value problems
Mathematical methods in the applied sciences, 2018Reproducing kernel Hilbert space method is given for nonlinear boundary‐value problems in this paper. Applying this technique, we establish a new algorithm to approximate the solution of such nonlinear boundary‐value problems.
Esra Karatas Akgül
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Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space
Artificial Intelligence Review, 2021Yongliang Yang +5 more
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A reproducing kernel Hilbert space approach in meshless collocation method
Computational and Applied Mathematics, 2017In this paper, we combine the theory of the reproducing kernel Hilbert spaces with the field of collocation methods to solve boundary value problems with a special emphasis on the reproducing property of kernels.
B. Azarnavid +3 more
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