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1 - 5 of 5 search results for First graphene-based flexible display produced |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 5 match some words.

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  2. Constrained Bayesian Optimization for Automatic Chemical Design

    https://www.mlmi.eng.cam.ac.uk/files/griffiths_dissertation.pdf
    30 Oct 2019: The first approach is based on optimizing(?) directly and results in a type II maximum likelihood estimate for the hyperparameters [94].This approach can overfit if the data is sparse. ... in conjunction with gradient-based optimization to learn the

  3. Tradeoffs in Neural Variational Inference

    https://www.mlmi.eng.cam.ac.uk/files/cruz_dissertation.pdf
    30 Oct 2019: 39] provides two versions of this dataset. One consists of theoriginal data they gathered while with the other, the original data is first roughly aligned usinga similarity transformation based on the ... We first croppedthe image to be 178178 before

  4. 3D Human Motion Synthesis with Recurrent Gaussian Processes

    https://www.mlmi.eng.cam.ac.uk/files/mphil_thesis_yeziwei_wang.pdf
    6 Nov 2019: All above RNN-based models have one common limitation in spite of good results formotion modelling. ... 5] mentions that deep learning structure are mainlyassociated with Restricted Boltzmann Machine (RBM) based models.

  5. Fairness in Machine Learning withCausal Reasoning Philip Ball…

    https://www.mlmi.eng.cam.ac.uk/files/ball_thesis.pdf
    6 Nov 2019: 4. Applying the CFU metric to a number of observationally based approaches and un-derstanding how these perform counterfactually. ... For example, consider that we wish to grant loans, and make decisions based onwhere an individual lives.

  6. Understanding Uncertainty in Bayesian Neural Networks

    https://www.mlmi.eng.cam.ac.uk/files/mphil_thesis_javier_antoran.pdf
    18 Nov 2019: We must resort to Monte Carlo (MC) estimatesof the ELBO and gradient based optimisation. ... It was first appliedto BNNs by Hernández-Lobato and Adams (2015). Hernandez-Lobato et al.

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