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Did you mean economiespast |u:mi.eng.cam.ac.uk?
11 - 20 of 20 search results for Economics test |u:mi.eng.cam.ac.uk where 2 match all words and 18 match some words.

  1. Results that match 1 of 2 words

  2. lect13.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect13_pres.pdf
    25 Nov 2015: each distance measure takes O(d);. • each of n stored point is compared to the test sample,total cost O(nd).

  3. lect8.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect8_pres.pdf
    20 Nov 2015: For a classifier, f(x, θ), trained with parameters θ, the ex-pected test error may be expressed as. ... Consider some standard test data, the Iris data. 1 2 3 4 5 6 7.

  4. lect9_pres

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect9_pres.2up.pdf
    10 Nov 2015: For a classifier, f(x, θ), trained with parameters θ, the ex-pected test error may be expressed as. ... Thislimits the ability of the classifier. Consider some standard test data, the Iris data.

  5. lect2.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect2_pres.pdf
    10 Nov 2015: r Rat. e (%. ). Future "test" data. Training data. Often, when designing classifiers, it is convenient to have setof held-out training data that can be used to determine theappropriate complexity of

  6. Model-based Approaches to Robust SpeechRecognition in Diverse…

    mi.eng.cam.ac.uk/~mjfg/thesis_yw293.pdf
    27 Oct 2015: clean test data. For the CAT system, cluster weights are estimated at the. ... with actual test data. Adaptation techniques have been used to quickly adapt ASR systems.

  7. main

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2016-CVIU-EVTTS.pdf
    10 Sep 2015: 10. ASC group Control group. (N=40) (N=39). MeanS.D. MeanS.D.(Range) (Range) t-test Result. ... Significant main eects for variables involving305more than one level (e.g. in the case of five emotion types), are explored306further using Bonferroni

  8. Improving Speech Recognition and Keyword Searchfor Low Resource…

    mi.eng.cam.ac.uk/~mjfg/interspeech15-mendels-babel.pdf
    9 Oct 2015: Before MTWV scoring these valueswere further normalised using a sum-to-one approach to ensurethat the sum over the test set of the scores for each keyword sumto unity.

  9. Department of Engineering 1 Generative Kernels and Score-Spaces…

    mi.eng.cam.ac.uk/~mjfg/Kernel/rcv25_2015_y3.pdf
    1 Jun 2015: ese scores then form features for the discriminative classiers. is. Test data O.

  10. IMPROVING MULTIPLE-CROWD-SOURCED TRANSCRIPTIONS USING A…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/van_dalen-2015-improving.pdf
    11 Feb 2015: It consists ofrecorded proficiency tests for English. The recording quality variesgreatly.

  11. Annotating large lattices with the exact word error Rogier ...

    mi.eng.cam.ac.uk/~mjfg/Kernel/van_dalen-2015-exact_error.pdf
    16 Jun 2015: 4. ResultsTo test the new algorithm for error-marking lattices, a realistictraining set with long utterances was chosen.

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