Showing 1–20 of 87 results
/ Date/ Name
Feb 14, 2023Splitting Method for Support Vector Machine in Reproducing Kernel Banach Space with Lower Semi-continuous Loss FunctionSep 7, 2021Analysis of Regularized Learning in Banach Spaces for Linear-functional DataAug 21, 2011Approximation of Stochastic Partial Differential Equations by a Kernel-based Collocation MethodDec 30, 2014Generalized Mercer Kernels and Reproducing Kernel Banach SpacesSep 1, 2011Reproducing Kernels of Generalized Sobolev Spaces via a Green Function Approach with Differential OperatorsNov 5, 2021Positive Definite Multi-Kernels for Scattered Data InterpolationsMar 21, 2013Kernel-based Methods for Stochastic Partial Differential EquationsSep 27, 2011Reproducing Kernels of Sobolev Spaces via a Green Kernel Approach with Differential Operators and Boundary OperatorsJun 7, 2019A Note on Lower Digits Extraction Polynomial for BootstrappingOct 14, 2017Kernel-based Approximation Methods for Generalized Interpolations: A Deterministic or Stochastic Problem?Apr 17, 2018When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?May 15, 2024Optimal information acquisition for eliminating estimation riskMay 7, 2024Despite Absolute Information Advantages, All Investors Incur Welfare LossAug 26, 2022Splitting Method for Support Vector Machine with Lower Semi-continuous LossJun 1, 2023Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation ModelsSep 6, 2012Solving Support Vector Machines in Reproducing Kernel Banach Spaces with Positive Definite FunctionsApr 29, 2012Reproducing Kernels of Generalized Sobolev Spaces via a Green Function Approach with Distributional OperatorsDec 9, 2017CycleGAN Face-offNov 29, 2017Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density NetworkJul 19, 2021Sample Complexity of Learning Parametric Quantum Circuits