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11 - 20 of 62 search results for katalk:za33 24 |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 62 match some words.

  1. Results that match 1 of 2 words

  2. Waveform Level Synthesis

    https://www.mlmi.eng.cam.ac.uk/files/dou_thesis.pdf
    30 Oct 2019: Forthe network in figure 3.6, F L = 2, NL = 4, and HL = 24 = 16. ... 24 Unconditional synthesis. baseline synthesis system. 2254 utterances are used for training, 70 for validation and 72for testing.

  3. thesis

    https://www.mlmi.eng.cam.ac.uk/files/james_requeima_8224681_assignsubmission_file_requeimajamesthesis.pdf
    30 Oct 2019: D, xı. )È6. (2.24). We will discuss the derivation and computation of the PES acquisition function in Chap-ter 3. ... n. (x), vn. (x)) where. µ. n. (x) = „(x)( ‡2I)1y (3.24)v.

  4. Variable length word encodings forneural translation models Jiameng…

    https://www.mlmi.eng.cam.ac.uk/files/jiameng_gao_8224881_assignsubmission_file_j_gao_mphil_dissertation.pdf
    30 Oct 2019: the best MCR in Cambridge. I’ve absolutely loved 24 Parkside, everyone here had made. ... h, ,i (2.24). Where is a non-terminal symbol, while , 2 (X [ V) are a string of terminalsand non-terminals in the source and target languages respectively, where

  5. Sparse Circular Gaussian Process Approximation

    https://www.mlmi.eng.cam.ac.uk/files/william_tebbutt_8224741_assignsubmission_file_merged_document1.pdf
    30 Oct 2019: T#. ]Ep(f | y) [f#] Ep(f | y). [f T#. ] K#,# Q#,# R#,# (1.24).

  6. mphilthesis.def

    https://www.mlmi.eng.cam.ac.uk/files/graziani_dissertation.pdf
    30 Oct 2019: 234.1.5 Filtering. 234.1.6 Target pattern. 244.1.7 Regularisation. 24. 4.2 Introducing Spatial Smoothing for LMs.

  7. Investigating Inference in BayesianNeural Networks via Active…

    https://www.mlmi.eng.cam.ac.uk/files/riccardo_barbano_dissertation_mlmi.pdf
    18 Nov 2019: 24. 3.3 “ One-Off ” Metrics Do Not Work Too Well.

  8. acs-dissertation

    https://www.mlmi.eng.cam.ac.uk/files/konstantinos_tsakalis_8224911_assignsubmission_file_dissertation_signed.pdf
    30 Oct 2019: them is slightly shifted. 24. A common way to solve this problem and produce intuitive distances is Dy-.

  9. Training Restricted BoltzmannMachines Using High-Temperature…

    https://www.mlmi.eng.cam.ac.uk/files/pawel_budzianowski_8224891_assignsubmission_file_budzianowski_dissertation.pdf
    30 Oct 2019: 24. 3.4 Contrastive divergence. 253.4.1 Persistent contrastive divergence. 25. 3.5 Learning using extended mean field approximation. ... Denote by:. θ = Ep(f(X)) =f(x)p(x)dx. 24 Learning of Boltzmann machine.

  10. Constrained Bayesian Optimization for Automatic Chemical Design

    https://www.mlmi.eng.cam.ac.uk/files/griffiths_dissertation.pdf
    30 Oct 2019: 24 Background. termed the evidence [71]) encompasses the Occam factor [93] in so far as it favours models ofintermediate complexity. ... 2.24). 12. y(Qff diag[Kff Qff] σ 2y I)1y︸ ︷︷ ︸encourages fit with data.

  11. BachBot: Automatic composition in thestyle of Bach chorales…

    https://www.mlmi.eng.cam.ac.uk/files/feynman_liang_8224771_assignsubmission_file_liangfeynmanthesis.pdf
    30 Oct 2019: 24. 4.3 Distortion introduced by quantization to semiquavers. 254.4 Example encoding of a score containing two chords, both one quaver in dura-. ... Experiments in Music Intelligence (EMI) by Cope [24, 23] is one of the first rule-basedcomposition

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