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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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Learning Deep Belief Networks from Non-Stationary Streams
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Probabilistic Modeling of Human Dynamics for Intention Inference
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Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise
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Toward Fast Policy Search for Learning Legged Locomotion
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A General Perspective on Gaussian Filtering and Smoothing: Explaining Current and Deriving New Algorithms
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Gambit: An Autonomous Chess-Playing Robotic System
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Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
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Ordinal classification of depression spatial hot-spots of prevalence
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