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Deployable Machine Learning Key words: out-of-distribution generalization, machine learning, active learning, human-in-the-loop learning, distribution shift, probabilistic modelling, computational rationality
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dimensions of travel behaviour and travel satisfaction; (ii) equity, mobility justice, and the distribution of accessibility; (iii) the role of time, autonomy, safety, and mental load in shaping daily mobility
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is concerned with the mathematical problem of comparing and interpolating distributions of mass, for example probability distributions. The concept has lately gained increasing interest from
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