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21 - 28 of 28 search results for katalk:za33 24 |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 28 match some words.
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  2. The Gaussian Process Latent Autoregressive Model

    https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/gaussian_process_latent_autoregressive_model.pdf
    11 Feb 2021: The Gaussian Process LatentAutoregressive Model. Rui Xia. Supervisors:Dr. Richard E. Turner. Wessel BruinsmaWilliam Tebbutt. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in
  3. Neural Models for Non-Uniformly Sampled Data

    https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/neural_models_for_non-uniformly_sampled_data.pdf
    11 Feb 2021: θ ELBO({xi}ni=1,{φ ti }ni=1,θ t1) nθ ELBO(xi,φ ti ,θ t1),i U {1,.,n} (2.24). ... Finally, this latent function. 24 Related Work. z(t) is used to obtain parameters of the predictive distribution at each target time locationt T1:NT.
  4. Co-activation detection in ten-finger typing on a virtual keyboard

    https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/co-activation_detection_in_ten-finger_typing_on_a_virtual_keyboard.pdf
    19 Feb 2021: 4] and uses the dataset they collected. Thisdataset comprises of tracking data for 24 participants.
  5. Information-Theoretic Exploration with Successor Uncertainties

    https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/information_theoretic_exploration_with_successor_uncertainties.pdf
    11 Feb 2021: 24 Exploration vs Exploitation. to a greedy policy in which, at any state, the agent performs the action that maximizes theestimated value function.
  6. Causal Representation Learning for Latent Space Optimization

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/causal_representation_learning_for_latent_space_optimization.pdf
    15 Nov 2021: Causal Representation Learning forLatent Space Optimization. Wenlin Chen. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. St
  7. Depth Uncertainty Networks for Active Learning

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/depth_uncertainty_networks_for_active_learning_reduced.pdf
    15 Nov 2021: decaying priors. 604.24 Overfitting bias for DUNs with uniform and decaying priors trained with R̃. ... w = t(φ,ε) = µ σ ε ; ε N(0,I), (2.24).
  8. Precise Positioning of a Drone using Spoken Language Commands ...

    https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/precise_positioning_of_a_drone_using_spoken_language_commands.pdf
    11 Feb 2021: 24. Candidate ID: G708 Precise Positioning of a Drone using Spoken Language Commands.
  9. Conditional Neural Processes and Semi-Supervised Learning

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/conditional_neural_processes_and_semi-supervised_learning_0.pdf
    15 Nov 2021: Conditional Neural Processes andSemi-Supervised Learning. Max-Olivier Van Bastelaer. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence.

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