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1 - 10 of 11 search results for Economics exam |u:mi.eng.cam.ac.uk where 2 match all words and 9 match some words.
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  2. The Geometry of Statistical Machine Translation

    mi.eng.cam.ac.uk/~wjb31/PUBS/AAWaite-thesis-final.pdf
    10 Oct 2015: We can also define more abstract rings. For exam-ple a viable set of values is the set of all polynomials, which yields the polynomial ring.
  3. "Refinements in Hierarchical Phrase-Based Translation…

    mi.eng.cam.ac.uk/~wjb31/ppubs/jpino2015HieroRefinementsThesis.pdf
    6 Feb 2015: US-China strategic economic dialogue “focused on the economic,environmental and other issues, the most important thing is thatthe issue of the RMB exchange rate, the US Congress membersare of the ... Reference: The US-China Strategic Economic Dialogue
  4. Results that match 1 of 2 words

  5. 21 Jan 2015: obtained from using the FLP LM. What is more interesting is thatgraphemes not seen in the acoustic model training data, for exam-ple “һ”, exist in the recognition output (and correctly).
  6. Unicode-based Graphemic Systems for Limited Resource Languages

    mi.eng.cam.ac.uk/~mjfg/icassp15-gales-babel.pdf
    18 May 2015: What is more interesting is thatgraphemes not seen in the acoustic model training data, for exam-ple “һ”, exist in the recognition output (and correctly). ... Inaddition performance on a CTS Levantine Arabic task was exam-ined. In addition to the
  7. PROBABILISTIC ACOUSTIC MODELLING FOR PARAMETRIC SPEECH SYNTHESIS Sean …

    mi.eng.cam.ac.uk/~wjb31/ppubs/shannon2014probabilistic-thesis.pdf
    2 Feb 2015: PROBABILISTIC ACOUSTIC MODELLING. FOR PARAMETRIC SPEECH SYNTHESIS. Sean Matthew Shannon. Trinity College. Department of Engineering. University of Cambridge. Trumpington Street. Cambridge, CB2 1PZ, U.K. September 2014. This dissertation is submitted
  8. 27 Oct 2015: Model-based Approaches to Robust SpeechRecognition in Diverse Environments. Yongqiang Wang. Darwin CollegeEngineering Department Cambridge University. October 2015. This dissertation is submitted to the University of Cambridge. for the degree of
  9. lect3_pres.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect3_pres.pdf
    10 Nov 2015: Therefore the overall procedure is. 1. Initialise the parameters of the mixture, θ(0), - for exam-ple set all component priors to be equal, all variances tobe equal, and use different
  10. lect3.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect3.pdf
    10 Nov 2015: Therefore the overall procedure is. 1. Initialise the parameters of the mixture, θ(0), - for exam-.
  11. lect13.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect13_pres.pdf
    25 Nov 2015: These approaches are called non-parametric. We havealready seen a classifier that is based on the training exam-ples, support vector machines (Gaussian processes are an-other example).
  12. lect1.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect1.pdf
    10 Nov 2015: Web-Page: http://mi.eng.cam.ac.uk/mjfg/4F10/index.html. Assessment by exam (1.5h): 3 questions from 5. A number of books cover parts of the course material. •

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