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1 - 10 of 222 search results for KaKaoTalk:vb20 200 |u:mi.eng.cam.ac.uk where 0 match all words and 222 match some words.
  1. Results that match 1 of 2 words

  2. 13 Mar 2018: #"$ %&('),-. /1032!054507698;:<:>=@?3A07BC05DFEHGJILKM?7N;O3P,BC05QRETS78VUWUHNVKX Y[Z]<_@ab_ cWdeRfJabfJg ih7j3kFlmnZ]oqpVhngo]osrtd>jvug wyx;Zzp;{@fFu|}C FjVR. MV@tMt>vM tMbJ fJvgbdwfJtd_cn{Z]nfJf<Z]V{VjvRnZ]Mf<abZd_ cugw(xVZqpV{f@jvugwyx;ZqpV{@fFu
  3. 13 Mar 2018: #"$ %&('),-. /1032!054507698;:<:>=@?3A07BC05DFEHGJILKM?7N;O3P,BC05QRETS78VUWUHNVKX Y[Z]<_@ab_ cWdeRfJabfJg ih7j3kFlmnZ]oqpVhngo]osrtd>jvug wyx;Zzp;{@fFu|}C FjVR. MV@tMt>vM tMbJ fJvgbdwfJtd_cn{Z]nfJf<Z]V{VjvRnZ]Mf<abZd_ cugw(xVZqpV{f@jvugwyx;ZqpV{@fFu
  4. 13 Mar 2018: V. 0 50 100 150 200 250 3000.5. 0. 0.5. 1. ... 0.5. Cycle number. Mod. el Y. 0 50 100 150 200 250 3000.4.
  5. 13 Mar 2018: V. 0 50 100 150 200 250 3000.5. 0. 0.5. 1. ... 0.5. Cycle number. Mod. el Y. 0 50 100 150 200 250 3000.4.
  6. 13 Mar 2018: 100. 150. 200. 250. 1. 50 100 150 200 250 300 350. ... 50. 100. 150. 200. 250. 0 50 100 150 200 250 300 350.
  7. 13 Mar 2018: 100. 150. 200. 250. 1. 50 100 150 200 250 300 350. ... 50. 100. 150. 200. 250. 0 50 100 150 200 250 300 350.
  8. yeyo06.dvi

    mi.eng.cam.ac.uk/~sjy/papers/yeyo06.pdf
    20 Feb 2018: from 50 to 200.
  9. yeyo05b.dvi

    mi.eng.cam.ac.uk/~sjy/papers/yeyo05b.pdf
    20 Feb 2018: NonNativeA: Chinese sentences 11-20 and 31-40 spoken bythe first 10 native English speakers, 200 utterances in to-tal.
  10. williams2006POMDPsForSDSs-manuscript

    mi.eng.cam.ac.uk/~sjy/papers/wiyo07.pdf
    20 Feb 2018: Partially Observable Markov Decision Processes for Spoken Dialog Systems. Jason D. Williams1 Steve Young AT&T Labs – Research Cambridge University. Engineering Department. Abstract. In a spoken dialog system, determining which action a machine
  11. williams2006IEEE.dvi

    mi.eng.cam.ac.uk/~sjy/papers/wiyo07b.pdf
    20 Feb 2018: IEEE TRANS. ON AUDIO, SPEECH & LANGUAGE PROCESSING, VOL? , NO? , MONTH? YEAR? 1. Scaling POMDPs for spoken dialog management. Abstract— Control in spoken dialog systems is challenginglargely because automatic speech recognition is unreliable

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