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Showing 1 to 6 of 6 for “"sequential experimental design"”.

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

    … a unified probabilistic model and then perform sequential probabilistic inference on the joint model to design improved interaction. 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 …

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

  2. Some topics in sequential analysis

    The student, Yanglei Song, accepted the attached license on 2019-04-05 at 12:15.

    uiuc Repository record for Some topics in sequential analysis (opens in a new tab)

  3. Modeling based process development of fed-batch bioprocesses: L-valine production by Corynebacterium glutamicum

    … experiments. Models can be fitted to the experimental data and the accuracy of the parameter estimates can be regarded. Also the accuracy of the model fit can be addressed and the different models can be compared. Importantly, the programs also provide options for the design of informative …

    aachen Repository record for Modeling based process development of fed-batch bioprocesses: L-valine production by Corynebacterium glutamicum (opens in a new tab)

  4. BAYESIAN SEQUENTIAL OPTIMAL EXPERIMENTAL DESIGN FOR INVERSE PROBLEMS USING DEEP REINFORCEMENT LEARNING

    We perform a comprehensive study on Bayesian sequential optimal experimental design techniquesapplied to inverse problems. We transform the Bayesian sequential optimal experimental design problem into a reinforcement learning problem to gauge the power of recent deep reinforcement learning …

    umn Repository record for BAYESIAN SEQUENTIAL OPTIMAL EXPERIMENTAL DESIGN FOR INVERSE PROBLEMS USING DEEP REINFORCEMENT LEARNING (opens in a new tab)

  5. Statistical Methods For Kinetic Modeling Of Fischer Tropsch Synthesis On A Supported Iron Catalyst

    … catalyst using advanced statistical methods for experimental design and analysis. A high surface area alumina, modified by the addition of approximately 2 wt% lanthanum, was impregnated with approximately 20 wt% Fe and 1% Pt in a two step procedure. Approximately 10 wt% Fe and 0.5 wt% Pt was …

    byu Repository record for Statistical Methods For Kinetic Modeling Of Fischer Tropsch Synthesis On A Supported Iron Catalyst (opens in a new tab)