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  2. Template.dvi

    mi.eng.cam.ac.uk/~mjfg/CUED-Chen-RNNLMKWS.pdf
    22 Mar 2017: If thenormalisation termZ(hi) could be approximated as constantC, un-normalised RNNLM probabilities are be used in test time as,. ... In test time, RNNLM probabilities canbe approximated as unnormalised probabilities in Eqn (3) and fastevaluation speed
  3. Genigraphics Research Poster Template A0/A1

    mi.eng.cam.ac.uk/UKSpeech2017/posters/m_al-radhi.pdf
    17 Nov 2017: Budapest University of Technology and Economics, Department of Telecommunication and Media Informatics,.
  4. UKspeech2017

    mi.eng.cam.ac.uk/UKSpeech2017/posters/y_wang.pdf
    17 Nov 2017: Bottleneck Layer. HLDA. DNN. HLDA. Fusion. Score. LSTM. FBank Test set%WER.
  5. University of CambridgeEngineering Part IB Information Engineering…

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-DNN-lecture-2.pdf
    18 May 2017: 1. Thou shalt not train on test data. 2. Thou shalt not determine hyperparameters on test data. ... set it aside for use as test data. If you train on this data,.
  6. maneval_hvd_new.eps

    mi.eng.cam.ac.uk/~mjfg/thesis_xc257.pdf
    9 May 2017: using 793K vocabulary. The train is run on GPU and test is on CPU. ... 126. 8.6 Out of Vocabulary (OOV) % for AMI and TTM test data.
  7. Deep Density Networks with Uncertainty for spontaneous spoken…

    mi.eng.cam.ac.uk/UKSpeech2017/posters/a_malinin.pdf
    17 Nov 2017: I Non-parametric Bayesian model: fGP(x;D) µg (x),σ2g (x)I Uncertainty depends on proximity of test data to training dataI Limitations - O(n2) memory, O(n3) compute use
  8. Published as a conference paper at ICLR 2016 TRAINING ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2016-ICLR-low-rank-filter.pdf
    14 Jan 2017: Network Multiply-Acc. 109 Test M.A. w/ Aug. 109 Param. 107 Top-5 Acc. ... Test time parameters v.s.top-5 error for state of the art models.
  9. How Does the Femoral Cortex Depend onBone Shape? A ...

    mi.eng.cam.ac.uk/reports/svr-ftp/gee_tr704.pdf
    15 Jun 2017: 4. Before we can compare these distributions and test how they depend on various regressors, we must firstexpress each distribution on a common mesh. ... The significance test was basedon the extent of connected clusters exceeding an uncorrected p-value
  10. University of CambridgeEngineering Part IB Information Engineering…

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-DNN-lecture-1.pdf
    18 May 2017: approximately 250 individuals. There are 60,000 training im-. ages and 10,000 test images (sampled in a disjoint manner.
  11. Published as a conference paper at ICLR 2016 TRAINING ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2016-ICLR-low-rank-filter.pdf
    14 Jan 2017: Network Multiply-Acc. 109 Test M.A. w/ Aug. 109 Param. 107 Top-5 Acc. ... Test time parameters v.s.top-5 error for state of the art models.

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