Search
Search Funnelback University
- Refined by:
- Date: 2016
Did you mean economiespast |u:mi.eng.cam.ac.uk?
1 -
14 of
14
search results for Economics test |u:mi.eng.cam.ac.uk
where 0
match all words and 14
match some words.
Results that match 1 of 2 words
-
Statistical Pattern Processing - Module 4F10
mi.eng.cam.ac.uk/~mjfg/local/4F10/24 Nov 2016: matlab.zip matlab routines (iris example data). mlpdemo - mlp training on iris data [train: iris_tra, tests: iris_tes]. ... gmmdemo - gmm training on iris data [train: iris_tra, tests: iris_tes]. -
Machine Learning of Level and Progression in Spoken EAL ...
mi.eng.cam.ac.uk/~kmk/presentations/CEP_Feb2016_Knill.pdf12 May 2016: Business Language Testing Service (BULATS) Spoken Tests. • Example of a test of communication skills A. ... Use automatic grader • for grading practice tests/learning process • in combination with human graders. • -
2014 Science Week lecture
mi.eng.cam.ac.uk/~cipolla/archive/Presentations/2016-Computer-Vision-Intro.pdf22 Feb 2016: SegNet predictions on unseen test images - DEMO. SegNet – Real-time DEMO. -
Combining I-vector Representation and Structured Neural Networks for…
mi.eng.cam.ac.uk/~mjfg/icassp16_wu.pdf5 Apr 2016: English Broadcast News (BN) transcription task.Two distinct sets of test data are examined. ... The first from the BNtask, yields test data acoustically matched to the training data. -
Machine Learning of Level and Progression in Second/Additional…
mi.eng.cam.ac.uk/~kmk/presentations/UBham_May2016_Knill.pdf12 May 2016: Business Language Testing Service (BULATS) Spoken Tests. • Example of a test of communication skills A. ... Statistical Parser Features. • Parser features from RASP system improve grades for written tests. • -
Investigation of back-off based interpolation between Recurrent…
mi.eng.cam.ac.uk/~mjfg/asru15-chen.pdf11 Mar 2016: A development data set of 70kwords was used parameter tuning. A separate 79k word test test wasused for performance evaluation. ... 184. Table 2. PPL results on test set of PTB corpusn-gralm LM back-off level. -
Knill_IS2014_slides.dvi
mi.eng.cam.ac.uk/~kmk/presentations/Interspeech2014_Sep14_Knill.pdf12 May 2016: Training and Test Languages. Language Release # MissingPhones Tones. Cantonese IARPA-babel101-v0.4c — —Assamese IARPA-babel102b-v0.5a — —Bengali IARPA-babel103b-v0.4b 12 —Pashto IARPA-babel104b-v0.4aY — —Turkish -
SYSTEM COMBINATION WITH LOG-LINEAR MODELS J. Yang, C. Zhang, ...
mi.eng.cam.ac.uk/~mjfg/yang_ICASSP16.pdf12 Jul 2016: conditions. The test set is based on the development set of 1992November NIST evaluation, and it is artificially corrupted by using6 types of noise under 2 channel conditions. ... The mean of the prior is. System Criterion Test Set WER(%) Avg.A B C -
System Combination with Log-linear Models
mi.eng.cam.ac.uk/~mjfg/icassp16_yang.pdf5 Apr 2016: 5677. conditions. The test set is based on the development set of 1992November NIST evaluation, and it is artificially corrupted by using6 types of noise under 2 channel conditions. ... The mean of the prior is. System Criterion Test Set WER(%) Avg.A B C -
slides_part2.dvi
mi.eng.cam.ac.uk/~kmk/presentations/TutorialIC_Sep2015_part2_Knill.pdf12 May 2016: Timedelay. ht2. X. P(c|x,h). P(w|c,x,h). ht1. xt1. • Softmax calculation at output layer dominates training and test time. – -
STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES…
mi.eng.cam.ac.uk/~mjfg/vandalen_ASRU15.pdf12 Jul 2016: The test set is an ar-tificially corrupted subset of the development set of 1992 NovemberNIST evaluation using 6 types of noise under two microphone con-ditions with SNRs in the ... For each language, the training data (in the “verylimited language -
Structured Discriminative Models Using Deep Neural-Network Features
mi.eng.cam.ac.uk/~mjfg/asru15-vanDalen.pdf11 Mar 2016: The test set is an ar-tificially corrupted subset of the development set of 1992 NovemberNIST evaluation using 6 types of noise under two microphone con-ditions with SNRs in the ... For each language, the training data (in the “verylimited language -
Deep Learning for Speech Processing - An NST Perspective
mi.eng.cam.ac.uk/~mjfg/NST_2016.pdf29 Sep 2016: MTEDNN. FEDNN. MTEBNDNN. FEBNDNN. MTEBNDNN. MTEDNN. FEBNDNN. MTEDNN. Figure 3: Preference test results for naturalness. ... The samples used in the listening tests are vailable on-line via: http://datashare.is.ed.ac.uk/handle/10283/786. -
Structured and InûniteDiscriminative Models for Speech Recognition…
mi.eng.cam.ac.uk/~mjfg/thesis_jy308.pdf26 Jul 2016: 94. 6.1 he change of log-likelihood. 136. 6.2 he performance of the iLLM with large margin training of each expert onthe test set A of the AURORA 2 ... 146. 6.6 heconfusion matrixcorresponds to the results of the iLLM (LargeMargin)on the test set A of
Search history
Recently clicked results
Recently clicked results
Your click history is empty.
Recent searches
Recent searches
Your search history is empty.