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20 Feb 2018: 50.00 24.39 25.61Performance 43.90 25.61 30.49.

12 Apr 2022: with (X, Y ) vertices (23, 3), (5, 30), (45, 24) and (15, 48), calcu-late bounds on s.

10 Nov 2015: for minimum error with generative models. 24 Engineering Part IIB: Module 4F10 Statistical Pattern Processing.

20 Feb 2018: goodbye. ( 1 0.24) you are welcome. goodbye. ( 85 0.19) is there anything else i can help you with?

13 Jun 2013: Ney LM with optimized discounting parameters [24] usinga modified version of the RWTH open source decoder [25]; and (6)DBN, a deep belief network hybrid model [26, 27] with discrimi-native ... Ney, “Posterior-scaled mpe: Novel discriminative

20 Feb 2018: Computer Speech and Lan-guage 24:150–174. Xiaodong Zhang and Houfeng Wang. 2016.

20 Jan 2007: Test set baseline N-gram adaptfixed weights dynamic weights. dev05bcm (BC) 25.6 24.5eval04 (BN) 14.7 14.8dev04f (BN) 6.4 6.5. ... P3 27.4 25.6 24.5 24.3 24.3. Table 3: P2, P3 stage dev05bcm CERs.

20 Feb 2018: 1)(|( erruincorrecterrucorrect pacppacp = (24). In the MDP context, we assume the confidence score buckets are formed without access to a prior. )(

29 May 2004: Gauss 24.0 20.7 20.7 17.7 16.0WER (%) 35.3 35.1 35.2 35.3 35.5. ... The 16 component systems was then iteratively split until thenumber of components was 24.

16 Sep 2003: CambridgeUniversityEngineeringDepartment. EARSMeetingSept20037. X.Liu&M.J.F.Gales:AutomaticModelComplexityControlUsingMarginalizedDiscriminativeGrowthFunctions. IssueswithMLparadigm.

13 Nov 2008: IEEE Transactions on MedicalImaging, 23:153–163, 2004. [24] A. Pesavento, C. Perrey, M. ... Ultrasound in Medicine and Biology, 24:427–441, 1998. [31] R. Zahiri-Azar and S.

19 Jun 2023: conversational assessment. 24. Applying Foundation Models to Auto-marking: Neural Text Grader.

20 Feb 2018: vn(s) = r(s, π̂(n)) γ. s′S. oO. p(s′|s, π̂(n))p(o|s′, π̂(n))vl(n,o)(s′) (8.24). ... This style of execution is distinct frompolicy iteration, in which the nodesand links of the controller are changed and the controller isre-evaluated

19 Oct 2012: α̂(r) = argminα. {. F(. α, w(r), O(r); α̂(r1))}. (15). Conditional Maximum Likelihood[24]:. ... . . . . . . . vj V (24). whereV is the vocabulary of segment identities.

19 Oct 2012: Flat Direct Model [11] SCRF [23] or CAug [13]. M3N [18] orLarge Margin (Multi-Class) SVM [24]. ... Reformulate equation (24) in the form of (17). 1. 2||ᾱ||22+. C.

20 Feb 2018: Given the 8 subgoals (excluding the “name” subgoal) in the domain, there are 24 slot-level summary actions in total.The global summary actions implement other actions which cannot be associated ... wTα,i, wTθ,i]T C n {1,. , N}. Parameter update:24:

15 Feb 2005: 18.5. 19. 19.5. 20. mea. n D. ER. on. all. 24 d. ... RT-04f RT-04f RT-04f 23.86 24.12† Official evaluation submission. • New segmenter and clusterer resulted in 14% absolute drop in primary DER. •

21 Feb 2022: 24/56. Deep Density Network-based Grader [1, 7]. • Deep Density Networks predict parameters of a distribution.

20 Feb 2018: wTα,i,wTθ,i]T C. n {1,. ,N}Parameter update:. 24: αi1 αi1 βαwα,i25: θi1 θi1 βθwθ,i26: end for.

20 Feb 2018: J. D. Williams, P. Poupart, S. Young 24 March 2005. University of Cambridge, Dept. ... 24. not “brittle” – i.e., they do not fail catastrophically as the actual value of errp deviates from that used in training.

20 Feb 2018: and for the transition into. Inspired byagenda-based approaches to dialogue management [23], [24]the user state is factored into an agenda and a goal suchthat where consists of constraints. ... 24)The two update steps can be treated separately and

20 Feb 2018: 24. 0.6 0.7 0.8 0.9 10.5. 0.6. 0.7. 0.8. 0.9. 1.

20 Feb 2018: English 640 5 246 11 356 24 196 9German - - 135 2 277 13 175 6Italian - - - - 159 7 220 11. ... Word Vectors English German Italian RussianMonolingual Distributional Vectors 0.32 0.28 0.36 0.38COUNTER-FITTING: Mono-Syn 0.45 0.24 0.29 0.46COUNTER-FITTING:

8 Nov 2016: represents element-wise multiplication between vectors. 24/68. Long-Short Term Memory Networks (reference) [13, 10]. ... Ẽ (θ[τ]) = E (θ[τ]) νw[τ]. 50/68. Dropout [24]. Input. xd.

24 Jul 2003: Lattice-Regen 14.4 8.5 15.1 17.7 16.9 14.6 21.3 24.4 14.5 13.8.

19 Jun 2023: 24. GEC. 25. seq2seq GEC. Treat GEC as a machine translation problem i.e.

11 Feb 2020: These approachesinclude data augmentation [23,5,14]; the use of web data [20]; extensive systemcombination [31]; and the use of multiple languages [4,24]. ... In: Proc InterSpeech (2014). 24. Ragni, A., Dakin, E., Chen, X., Gales, M.J., Knill, K.M.: Multi

21 Nov 2023: 23. 3.4 Summary. 24. 4 Results and Discussions 254.1 In-context Learning for NMT. ... The loss function can be any string-to-string distance function, or the negative of string-to-string alignment function such as BLEU [24] and BLEURT [34] (see Section

22 Jul 2021: German translations are kept true-cased. Corpus Task #Sentences. TED-LIUM3 [23] ASR 268kWMT17-P En-De [24] MT 400kMuST-C En-De [25] ST 229k. ... E2E - - 19.29Casc 9.60 16.56 20.54EP 7.97 18.84 22.56. EP-J 9.60 16.24 23.25.

20 Feb 2018: Similarly, attempting to exploit the factoredform of the SDS-POMDP in optimization (using e.g., [24],[25]) is unlikely to succeed since most of the growth isdue to one component (the

23 Jun 2014: A speaker adaptive training (SAT) system using global con-strained maximum likelihood linear regression (CMLLR) ata speaker level [24] was then constructed, followed by bothMinimum Phone Error (MPE) [25] and ... 7, no. 3, pp. 272–281, May 1999. [24] M.

29 Apr 2004: 29.44 0 6standard-BIC-judge, full cov 24.62 2 2standard-BIC-judge, diag cov 23.90 3 1standard-BIC-judge, 128mix GMM 23.76 5 1IDIAP-BIC-judge, full ... 37.92 10.74 24.62BIC-judge, diag cov 30.30 19.94 18.11 31.05 37.92 10.74 23.90BIC-judge, 128mix GMM

10 Jan 2005: Nelson and D. H. Pretorius. Three-dimensional ultrasound imaging. Ultrasound inMedicine and Biology, 24(9):1243–1270, 1998. ... Pattern Recognition Letters, 24(4–5):705–713, February 2003. [13] G. Treece, R. Prager, and Gee.

8 Mar 2000: This system gave a word error rate of 24.1% on the TREC-6 test data and ran in about 50 times real time. ... Recogniser WER stop map stemIBM Baseline 50.0 47.5 47.2 44.3Sheffield 39.8 37.6 37.1 34.6HTK-1 28.6 24.9 24.7

13 May 2004: 92 32.06 24.95Num Poss 27 9 3 (39)Best 19.94 36.46 31.74 24.68. ... miss Worst 31.96 37.96 32.06 27.44allowed Mean 24.63 37.45 31.95 25.83.

27 Mar 2013: 8 1.710 4.4 3.6 3.5 3.3 3.205 11.2 9.2 8.9 8.8 8.400 29.6 25.1 24.9 24.1 ... Speech Lang.,vol. 24, no. 4, pp. 648–662, 2010. [21] H. Liao and M.

8 Mar 2000: Y 14.2 8.0 15.4 20.3 16.5 14.0 16.6 24.6. ... ROVER fgintcat 4/Y1/N 13.8 7.8 15.1 20.1 15.8 13.6 16.6 24.1.

10 Nov 2015: the KL divergence given above. 24 Engineering Part IIB: Module 4F10 Statistical Pattern Processing.

6 Jun 2014: This is effectively anunsupervised acoustic model training process [24, 25]. For all experiments the core ASR toolkit, used for acousticfeature generation, clustering, decoding and GMM-based acousticmodel training, was an extended ... 7319–7323, IEEE,

21 Nov 2019: 1.0 indicates within one CEFR grade-level. 24/45. Assessment System Performance. • ... 1.0 indicates within one CEFR grade-level. 24/45. Performance Analysis. 25/45.

26 Sep 2016: Data-based schemes instead. make use of data to initialise [27], train [20, 23] or adapt [24] the. ... The amount. of training data in VLLP conditions is 31,959 and 24,703 words.

15 Aug 2007: r)b. ”A(r)T. ”(24). 4. Goto 2 unless converged, or maximum number of iterations.It is possible to stop the estimation at various stages.

23 Jun 2014: domised at the frame level across all the languages [24, 5]. ... 29, no. 6, pp. 82–97, Nov 2012. [24] J.-T. Huang et al., “Cross-language knowledge transfer using mul-tilingual deep neural network with shared hidden layers,” in Proc.ICASSP,

29 Nov 2003: Object View! normalised 24 2 4 H H #cube. Z n @ D$L Z¡ LD ' n$ $ n[ D[ n[ ' D ¡¢ J n D Z n D @ n L 3LD Z ... variousimages! normalised is expectedto beapproximatelyone. Note that the variationsin. H H are much larger then variationsin 24 2

23 Sep 2003: System A B C D23.0 23.6 23.4 24.8. A 23.1 22.6 22.7B 22.9 23.3C 22.8. ... full ’02 19.8 24.3 27.0 23.910x ’02 22.3 27.7 31.0 27.2 14%.

27 Apr 2001: Ultrasound in Medicine and Biology, 24(6):855–869, 1998. [6] W. L. Smith and A. ... Parker. Multilevel and motion model-based ultrasonicspeckle tracking algorithms. Ultrasound in Medicine and Biology, 24(3):427–441, 1998.

10 Feb 2012: The like-lihood is then computed as. p(yyyt |m). p(xxx|yyyt )p(xxx|m)dxxx (24). ... Though intuitively well motivated, from (24) it can be seen that the likelihood is notmathematically consistent.

10 Apr 2000: M S TM 82.11 17.89 0.00N 15.27 84.22 0.51S 0.56 98.24 1.20T 0.00 1.19 98.81. ... 1F3 36.4 32.7 35.3 33.9F4 28.6 25.0 25.4 24.4F5 28.6 23.8 27.1 26.5FX 58.5 55.2 56.8

10 Aug 2010: The individual image frames arelocated in space by a position sensor attached to the probe [16] or, in the case of intravascularimaging, by a continuous pullback method [24]. ... Communications of theACM, 24(6):381–395, June 1981. [10] T. G. Fisher, T.

20 Nov 2015: 34. 24 Engineering Part IIB: 4F10 Statistical Pattern Processing. Feature-Space Example. ... 34. 24 Engineering Part IIB: 4F10 Statistical Pattern Processing. Dimensionality of the Feature Space.