Search

Search Funnelback University

Search powered by Funnelback
10 results 20 results 50 results
Relevance Date (Newest first) Date (Oldest first) Title (A-Z) Title (Z-A) Distance URL (A-Z) URL (Z-A) Shuffle
1 - 5 of 5 search results for katalk:Vb20 808 |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 5 match some words.

  1. Results that match 1 of 2 words

  2. Generative Adversarial Networks for Speech Recognition Data…

    https://www.mlmi.eng.cam.ac.uk/files/tianyu_wu_mphil-thesis.pdf
    6 Nov 2019: No languagemodel is used, which reduces the accuracy but allows a clear focus on the acoustic model.Decision trees based states clustering is implemented and totally 808 tied triphone states areproduced,

  3. One-shot Learning in DiscriminativeNeural Networks Jordan Burgess…

    https://www.mlmi.eng.cam.ac.uk/files/jordan_burgess_8224871_assignsubmission_file_burgess_jordan_thesis1.pdf
    30 Oct 2019: One-shot Learning in DiscriminativeNeural Networks. Jordan Burgess. Queens’ College. A dissertation submitted to the University of Cambridgein partial fulfilment of the requirements for the degree ofMaster of Philosophy in Machine Learning, Speech

  4. Interpretable Policy Learning

    https://www.mlmi.eng.cam.ac.uk/files/2019-2020_dissertations/interpretable_policy_learning.pdf
    11 Feb 2021: Interpretable Policy Learning. Alex J. Chan. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. Wolfson College August 2020. This

  5. Eliciting Latent Knowledge from Language Reward Models

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/eliciting_latent_knowledge_from_language_reward_models_0.pdf
    17 Nov 2023: Eliciting Latent Knowledge fromLanguage Reward Models. Augustas Macijauskas. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence.

  6. Extending Deep GPs: Novel Variational Inference Schemes and a GPU…

    https://www.mlmi.eng.cam.ac.uk/files/maximilian_chamberlin_8224701_assignsubmission_file_mc.pdf
    30 Oct 2019: Accordingly,the model attains relatively low likelihoods over the test-data (227) 3.1 when compared with theDGP (808).

Refine your results

Date

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.