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Did you mean economiespast |u:www.mlmi.eng.cam.ac.uk?
1 - 10 of 77 search results for Economics test |u:www.mlmi.eng.cam.ac.uk where 5 match all words and 72 match some words.

  1. Fully-matching results

  2. Understanding Uncertainty in Bayesian Neural Networks

    https://www.mlmi.eng.cam.ac.uk/files/mphil_thesis_javier_antoran.pdf
    18 Nov 2019: The MNIST test set digits have been projected onto the latent space and are displayedwith a different colour per class. ... Fig. 2.8 MNIST test-set digits with pixels randomly dropped and corresponding VAEAC inpaintings.

  3. Fairness in Machine Learning withCausal Reasoning Philip Ball…

    https://www.mlmi.eng.cam.ac.uk/files/ball_thesis.pdf
    6 Nov 2019: Fairness in Machine Learning withCausal Reasoning. Philip Ball. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning, Speech and Language. Technology. Sidney

  4. Sum-Product Copulas

    https://www.mlmi.eng.cam.ac.uk/files/ramonacomanescu-thesis.pdf
    18 Nov 2019: SPNshave achieved competitive results on numerous tasks. A good test for deep architectures is that of image completion, where it is essential todetect deep structure.

  5. Distributed Variational Inferenceand Privacy

    https://www.mlmi.eng.cam.ac.uk/files/dissertation_-_xiping_liu.pdf
    18 Nov 2019: Distributed Variational Inferenceand Privacy. Xiping Liu. Supervisor: Dr Richard E. Turner. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine

  6. thesis

    https://www.mlmi.eng.cam.ac.uk/files/james_requeima_8224681_assignsubmission_file_requeimajamesthesis.pdf
    30 Oct 2019: 53. Chapter 1. Introduction. 1.1 Optimization. Optimization problems are widespread in science, engineering, economics and finance.For example, regional electricity grid system operators (ISOs) optimise the productionof electricity (solar, wind

  7. Results that match 1 of 2 words

  8. poster

    https://www.mlmi.eng.cam.ac.uk/files/tam_poster.pdf
    18 Nov 2019: TCAV• Test preliminary results with more concepts and classes• Show the change in TCAV score for how high/low level concepts throughout layers• Use the deep dream method to visualized learned ... Test the learned representations on downstream tasks.

  9. Auto-Encoding Variational BayesPawe l F. P. Budzianowski, Thomas F.…

    https://www.mlmi.eng.cam.ac.uk/files/mlsalt4_budzianowski_nicholson_tebbutt.pdf
    30 Oct 2019: LA (train)LA (test)LB (train)LB (test). 0.0 0.2 0.4 0.6 0.8 1.0Training samples evaluated 1e8. ... Sigmoid (train)Sigmoid (test)ReLu (train)ReLu (test)Tanh (train)Tanh (test). • Increasing thedepth of theencoder.

  10. Active Learning with High Dimensional InputsRiashat Islam, Yarin Gal, …

    https://www.mlmi.eng.cam.ac.uk/files/islam_riashat_industry_day_poster.pdf
    30 Oct 2019: Pooled Images. Performance of Active Learners. Test set accuracy with Number of Queries. ... Test Error Results on MNIST for 100 and 1000 labelled training samplesTest error % with number of used labels 100 1000.

  11. Weight Uncertainty in Neural Networks

    https://www.mlmi.eng.cam.ac.uk/files/mlmi4_poster.pdf
    14 Nov 2019: Model #Units Test ErrorBBB 400 1.79%Dropout 400 1.72%. Model #Units Test ErrorBBB 800 1.92%Dropout 800 1.45%.

  12. for K-Shot LearningBayesian Neural NetworksJakub Świątkowski,…

    https://www.mlmi.eng.cam.ac.uk/files/swiatkowski_poster_industry_day_v03.pdf
    30 Oct 2019: inferes classes for test examples from the new classes.Phase 4. learns weights for the new classes based on the prior and K examples.Phase 3. ... training classes. test classes. lots of subsets. Comparison of models for the prior.

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