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  2. coversheet.dvi

    https://www-structmed.cimr.cam.ac.uk/Personal/randy/pubs/ea5015.pdf
    16 May 2019: correlations in the SAD experiment,. PSAD 2FFÿj2j. j4jexpÿa11F2 ÿ a22Fÿ2. ÿ a33 ÿ c33H2 ÿ a44 ÿ c44Hÿ2 expfÿ2HHÿa34 ÿ c34 cosH ÿ ÿHÿ b34 ÿ d34 sinH ÿ ÿHg. ... ÿ14 a11 a12 ib12 a13 ib13 a14 ib14. a12 ÿ ib12 a22 a23 ib23 a24 ib24a13 ÿ
  3. slides_part2.dvi

    mi.eng.cam.ac.uk/~kmk/presentations/TutorialIC_Sep2015_part2_Knill.pdf
    12 May 2016: 22a a33 a44 a22 a33 a44. 2 3 4 5. 1.
  4. MINIMAL ENTROPY AND COLLAPSING WITH CURVATUREBOUNDED FROM BELOW…

    https://www.dpmms.cam.ac.uk/~gpp24/minent02.pdf
    9 Sep 2002: f(z1,z2,z3,z4) = za11 z. a22 z. a33 z. a44. This gives a large class of simply connected 5-manifolds.
  5. LOCAL SOLUBILITY AND HEIGHT BOUNDS FOR COVERINGS OF ELLIPTIC ...

    https://www.dpmms.cam.ac.uk/~taf1000/papers/htbounds.pdf
    12 Oct 2010: y2 (a24x2 (a23 b24)xz b23z. 2)y = (a23a24 a44)x3z+. (a23b24 a24b23 a34 b44)x2z2 (a33 b23b24 b34)xz. ... 3 b33z4. Our proof in the case n = 2 shows that F4(P) = G4(P) = 0 if and only ifa24 = a44 = 0.
  6. maneval_hvd_new.eps

    mi.eng.cam.ac.uk/~mjfg/thesis_xc257.pdf
    9 May 2017: a12. a22. a23. a33. a34. a44. a45. Fig. 2.1A left-to-right HMM model with 3 emitting states, states 1 and 5 are non-emittingstates and 2,3,4 are ... s2 s3 s4 s5s2 a22 a23 0 0s3 0 a33 a34 0s4 0 0 a44 a45.
  7. Combining Diverse Neural Network Language Models for Speech…

    https://www.mlmi.eng.cam.ac.uk/files/xianrui_zheng.pdf
    18 Nov 2019: 1 62 3 4 5a12 a23 a34 a45 a56. a22 a33 a44 a55.
  8. 22 Nov 2001: C$ "-$ #(80360!#'KY. b4b2 b3. a12 a45a34a23. a22 a33 a44. a32 a43.
  9. Height Bounds for n-Coverings Graham Sills∗ Trinity College,…

    https://www.dpmms.cam.ac.uk/~taf1000/sills-thesis.pdf
    19 Oct 2010: a33 x23 a34 x3 x4 a44 x24 = 0,. b11 x21 b12 x1 x2 b13 x1 x3 b14 x1 x4 b22 x22 b23 x2 x3 b24 x2 x4+.
  10. 26 Jul 2016: 8. 2.2 Hidden Markov Models. 2 3 41 5. a22 a33 a44. ... 10. 2.2 Hidden Markov Models. 2 3 41 5. a22 a33 a44.
  11. Linear Gaussian Models for Speech Recognition

    mi.eng.cam.ac.uk/reports/svr-ftp/rosti_thesis.pdf
    8 Oct 2004: statistics. a12. a22. a23. a33. a34. a44. a45. o1 o2 o3 o4 o5 o6.
  12. Structured Deep Neural Networks for Speech Recognition

    mi.eng.cam.ac.uk/~mjfg/thesis_cw564.pdf
    12 Jul 2018: Structured Deep Neural Networks. for Speech Recognition. Chunyang Wu. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofDoctor of Philosophy. Wolfson College March 2018. I would like to dedicate this
  13. 9 Aug 2005: a23. a22. a34. a33 a44. 2 3 4Entry1. ExitNa4Na12. b2(ot) b3(ot) b4(ot).
  14. 16 Nov 2007: statistics. a12. a22. a23. a33. a34. a44. a45. o1 o2 o3 o4 o5 o6.
  15. 16 Nov 2007: a22 a33 a44. b3(oτ ). Figure 2.1 An HMM with a left-to-right topology and three emitting states.
  16. 27 Oct 2015: CHAPTER 2. SPEECH RECOGNITION SYSTEMS 11. 1 2. a22. a123. a33. ... a234. a34. a44. 5a45. duration of state 2ot b2(o). duration of state 3ot b3(o).

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