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14 INGENIA INGENIA ISSUE 54 MARCH 2013 15 Talking ...
mi.eng.cam.ac.uk/~sjy/papers/youn13.pdf20 Feb 2018: Typical word error rates are now between 3 and 8% for clean, carefully spoken speech, rising to 20% or greater for conversational speech in noisy environments. ... XXXXXXTALKING TO MACHINES. INGENIA ISSUE 54 MARCH 2013 21 20 INGENIA. -
Deep Neural Network Approach for theDialog State Tracking Challenge…
mi.eng.cam.ac.uk/~sjy/papers/hety13.pdf20 Feb 2018: Structure[] 0.6751 0.8074 0.5658. [50] 0.6679 0.8046 0.5450[20] 0.6656 0.8060 0.5394. ... Training used T =10, the full feature set,a [20, 10, 2] hidden structure and the shared ini-tialisation training method. -
Training a real-world POMDP-based Dialogue System Blaise Thomson,…
mi.eng.cam.ac.uk/~sjy/papers/tswy07.pdf20 Feb 2018: P (G′′|am, G′)= P (R′′|am, R′, C′′)P (C′′|am, R′, C′). (20). -
Modelling Uncertainty in Deep Learning for Camera Relocalization Alex …
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2016-ICRA-pose-uncertainty.pdf13 Mar 2018: 2. 4. 6. 8. 10. 12. 14. 16. 18. 20. Positional Error [m]. ... 5. 10. 15. 20. 25. 30. Distance to Nearest Training Example Feature Vector. -
ERROR SIMULATION FOR TRAINING STATISTICAL DIALOGUE SYSTEMS Jost…
mi.eng.cam.ac.uk/~sjy/papers/scty07b20 Feb 2018: A computationally less expensive word-level error simulationmethod for training statistical dialogue systems has been suggestedby [20]. ... 20] O. Pietquin and T. Dutoit, “A probabilistic framework for dia-log simulation and optimal strategy -
Natural Actor and Belief Critic: Reinforcementalgorithm for learning…
mi.eng.cam.ac.uk/~sjy/papers/juty11.pdf20 Feb 2018: Execute the episode:. 15: for t = 0 to Tn 1 do16: Draw action ant π(|b(|hnt ); θi)17: Observe the reward rnt18: Observe ont119: ht1 ht {ant ,ont1}20: end ... Thus, the eNAC algorithm uses a reward functionwhich still awards 20 for a successful dialogue -
Semantic Texton Forests for Image Categorization and Segmentation…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-CVPR-semantic-texton-forests-report.pdf13 Mar 2018: 2, 4. [20] D. Nistér and H. Stewénius. Scalable recognition with a vocabularytree. ... 46 5 14 11 14 34 8 6 3 10 39 40 28 23 32 19 19 8 24 9 20. -
MVA '96 IAPR Workshop on Machine Vision Applications. November.…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1996-MVA-affine-servo.pdf13 Mar 2018: 20. A test weld was arc-welded onto. Figure 3: In the "lost" state, the radius is increased Figure 4: Following the weld in the image above and until the weld ... If the weld is not within the search area, a is increase by approxi- mately 20% and the -
Statistical User Simulation with a Hidden Agenda Jost Schatzmann ...
mi.eng.cam.ac.uk/~sjy/papers/scty07.pdf20 Feb 2018: Q(θ, θ(k1)) =. X. P (X, D|θ(k1)) log P (X, D|θ).(20). ... 50. -40. -30. -20. -10. 01 2 3 4 5 6 7 8 9 10. -
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mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1996-ECCV-Cham-grouping.pdf13 Mar 2018: yr= y[P. yÒ0.2. 0.1. 00.1. 0.2. 0.20.1. 00.1. 0.2. 0. 0.5. ... S=5.0. S=20.0. No. rmal. ised. Bas. is L. ikel. iho. od.
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