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An n-spheres based synthetic data generator for supervised classification
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Borderline kernel based over-sampling
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Data-Efficient Generalization of Robot Skills with Contextual Policy Search
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Feedback Error Learning for Rhythmic Motor Primitives
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Hierarchical Learning of Motor Skills with Information-Theoretic Policy Search
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Imitation Learning by Model-based Probabilistic Trajectory Matching
Efficient skill acquisition is crucial for creating versatile robots. One intuitive way to teach a robot new tricks is to enable it to …
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Kernelizing the proportional odds model through the empirical kernel mapping
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Model-based Imitation Learning by Probabilistic Trajectory Matching
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Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment.
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Expectation Propagation in Gaussian Process Dynamical Systems
Rich and complex time-series data, such as those generated from engineering sys- tems, financial markets, videos or neural recordings …
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