Paper-Conference

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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An ensemble approach for ordinal threshold models applied to liver transplantation
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An experimental study of different ordinal regression methods and measures
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Expectation Propagation in Gaussian Process Dynamical Systems
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Learning Deep Belief Networks from Non-Stationary Streams
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Probabilistic Modeling of Human Dynamics for Intention Inference
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