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The Sample Complexity of Learning the Kernel

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The Pyramid Match Kernel: Efficient Learning with Sets of Features

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The Kernel Beta Process

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Temporal Segmentation with Kernel Change-point Detection

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Tailoring Density Estimation via Reproducing Kernel Moment Matching

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Switched Latent Force Models for Movement Segmentation

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Support Vector Machines and Kernel Methods

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Support Vector and Kernel Methods

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Supervised and Localized Dimensionality Reduction from Multiple Feature Represen...

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Subspace-based Learning with Grassmann Kernels

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Structured Regularization for MKL

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Structured Output Prediction of Enzyme Function via Reaction Kernels

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