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Showing 1 to 2 of 2 for “"high dimensional prediction"”.

  1. Stochastic prediction in sequential high-dimensional observation space

    … can be stochastic and unpredictable, and the high dimensionality and complexity of natural images require the predictive model to build an intricate understanding of the natural world. Many existing predictive methods tackle this problem by making simplifying assumptions about the environment. …

    uiuc Repository record for Stochastic prediction in sequential high-dimensional observation space (opens in a new tab)

  2. Probabilistic user modelling methods for improving human-in-the-loop machine learning for prediction

    … The thesis contributes on two types of prediction tasks. The first task is expert knowledge elicitation for high-dimensional prediction. Experts in a field usually have information beyond training data which can help to improve the prediction performance. User models, as priors and …

    aalto Repository record for Probabilistic user modelling methods for improving human-in-the-loop machine learning for prediction (opens in a new tab)