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Classification of EU countries’ progress towards sustainable development based on ordinal regression techniques
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Graph-based approaches for over-sampling in the context of ordinal regression
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Learning Deep Dynamical Models From Image Pixels
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Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem
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Probabilistic Model-based Imitation Learning
Efficient skill acquisition is crucial for creating versatile robots. One intuitive way to teach a robot new tricks is to demonstrate a …
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Probabilistic Movement Modeling for Intention-based Decision Making
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Projection-Based Ensemble Learning for Ordinal Regression
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Robust Filtering and Smoothing with Gaussian Processes
We propose a principled algorithm for robust Bayesian filtering and smoothing in nonlinear stochastic dynamic systems when both the …
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Gaussian Process Dynamic Programming
Reinforcement learning (RL) and optimal control of systems with continuous states and actions require approximation techniques in most …
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