extensions of recurrent neural network based language model
A Survey of Activity Network-Based Process Models for Managing Product Development Projects doc
... particular class of models, activity -based models, which view a project as aprocess, decomposed into a network of activities.Thus, we do not include in our survey most systemsdynamics models (e.g., ... the variety of models proposed in the literature, a survey of the PDprocess modeling literature is timely and valuable. In this work, we focus on the activity network- based process models that ... ge-neric activity network. We could not find an activity network- based model that provides an estimate of the“flexibility index” for PD processes, even though itwould seem that a model of what work...
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experimental analysis of neural network based feature extractors for
... 16 neural networks each of which had only two classes. The training files weredifferent to each of these networks. Each network was0-7803-7278-6/02/$10.00 ©2002 IEEEFigure 1. Block diagram of ... feed-forward neural networks. Therewas only one hidden layer for all kinds of networks inthis research. The number of neurons in the input layer of all these extractor was governed by the size of the ... Artificial neural networks for feature extractionand multivariate data projection. IEEE Trans. Neural Networks 6,296 –317, 1995.[2] B. Lerner, Toward a completely automatic neural network based human...
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Tài liệu A neural-network-based space-vector PWM controller for a three-level voltage-fed inverter induction motor drive doc
... generated by simulation of a conventionalSVM algorithm, and then a backpropagation technique inthe MATLAB -based Neural Network Toolbox [8] was usedfor offline training. The network was simulated ... Chairman of the IEEE IndustryApplications Society (IAS) Industrial Power Converter Committee, and IASmember of the Neural Network Council. He has been a Member of the EditorialBoard of the PROCEEDINGS ... VOL. 38, NO. 3, MAY/JUNE 2002Fig. 7. Feedforward neural- network (1–24–12) -based space-vector PWM controller.Fig. 8. Segmentation of neural network output forU-phasePstates.and signals...
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Tài liệu Báo cáo khoa học: "An Empirical Investigation of Discounting in Cross-Domain Language Models" ppt
... Estimating Probabilities of EnglishBigrams. Computer Speech & Language, 5(1):19–54.Joshua Goodman. 2001. A Bit of Progress in Language Modeling. Computer Speech & Language, 15(4):403–434.Bo-June ... ImprovedBacking-off for M-Gram Language Modeling. In Pro-ceedings of International Conference on Acoustics,Speech, and Signal Processing.Robert C. Moore and William Lewis. 2010. Intelligentselection of language ... ktrain(w) denote the number of occurrences of w in the training corpus, and ktest(w)denote the number of occurrences of w in the testcorpus. We define the empirical discount of w to bed(w) = ktrain(w)...
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Báo cáo khoa học: "Applying a Grammar-based Language Model to a Simplified Broadcast-News Transcription Task" ppt
... treebank which con-sists of about 50000 sentences of newspaper text.2.3 Robustness IssuesA major problem of grammar -based approachesto language modeling is how to deal with out -of- grammar utterances. ... reduced model is weakly significant on a level of 2.6% forthe MAPSSWE test.For both models, the optimal value of q was 0.001for almost all training runs. The language model weight µ of the reduced ... unpacked. For 24 of the 447lattices, some of the N best hypotheses containedphrases with more than 1000 readings. For these lat-tices the grammar -based language model was sim-ply switched off in the...
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Báo cáo khoa học: "Discriminative Training of a Neural Network Statistical Parser" pdf
... third neural network combines the ad-vantages of the generative probability model with the advantages of the discriminative opti-mization criteria. The structure of the network and the set of ... use a history -based model of parsing. De-signing a history -based model of parsing in-volves two steps, first choosing a mapping fromthe set of phrase structure trees to the set of parses, and ... several networks for each of theGSSN models and chose the best ones based ontheir validation performance. We then trainedone network for each of the DGSSN modelsand for the DSSN model. The...
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Báo cáo khoa học: "Word Association and MI-Trigger-based Language Modeling" potx
... 6: Comparison of word umgram, bigram and MI-Trigger model In order to evaluate the efficiency of MI- Trigger -based language modeling, we compare it with word unigram and bigram models. Both ... and bigram models. The conditional perplexity of the DD-6-MI-Trigger model is less than that of word bigram model and much less than the word unigram model. • The parameter number of the MI-Trigger ... frequency of word pairs as a function of distance To compare the effects of the above two factors, 20 MI-trigger models(in which DI and DD MI-Trigger models with a window size of 1 are same)...
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Báo cáo khoa học: "Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation" docx
... billions of tokens of training data.We then show that using partially class -based lan-guage models trained using the resulting classifica-tions together with word -based language models ina state -of- the-art ... builtjust like word -based n-gram models using existinginfrastructure. In addition, the size of the model isusually greatly reduced.2.1 One-Sided Class -Based ModelsTwo-sided class -based models received ... num-ber of parameters of the model (Brown et al., 1990).They have often been shown to improve the per-formance of speech recognition systems when com-bined with word -based language models (Martin...
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neural network-based face detection
... and tested the neural network. The resulting sum of squared errors made by the network is an indication of how important that por-tion of the image is for the detection task. Plots of the error ... for four networksworking alone, the effect of overlap eliminationandcollapsing multiple detections, and the results of us-ing ANDing, ORing, voting, and neural network arbitration. Networks ... face.Examplesof outputfroma single network are shownin Figure 2. In the figure, each box represents theposition and size of a window to which the neural network gave a positive response. The network...
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rotation invariant neural network-based
... artificial neural network group -based adaptive tolerance (GAT) trees. IEEE Transactions on Neural Networks,7(3):555–567, 1996.13Figure 4: Left: Average ofuprightface examples. Right: Positionsof average ... recognition/detection by probabilis-tic decision -based neural network. IEEE Transactions on Neural Networks, Special Issue onArtificial Neural Networks and Pattern Recognition, 8(1), January 1997.[Moghaddam ... 8: Detection of faces rotated out -of- plane.11Rotation Invariant Neural Network- Based Face DetectionHenry A. Rowley Shumeet Baluja Takeo KanadeDecember 1997CMU-CS-97-201School of Computer...
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neural network-based handwritten signature
... outputs. The class of multi-layer networks as awhole can represent any desired function of a set of attributes, and signatures can be readily modeledas a function of a set of attributes.2) ... with Hidden Markov Models. Proceedings of the 14th International Conference on Pattern Recognition,Brisbane, Australia, pp 1309–1312, 1998.[5] L. Fausett. Fundamentals of Neural Networks. Prentice ... experimentation,the above stopping condition caused the training of the network to cease in a reasonable amount of time (amaximum of a number of minutes) in every instance. Inpractice it may be necessary...
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neural network-based offline handwritten
... Neural Networks (NN), offline, Signature Recognition, etc. I. INTRODUCTION : The aim of off-line signature verification is to decide, whether a signature originates from a given signer based ... However, in HSV most of the subtle nuances of the writing such as size and slant are indicative of the signer’s natural style, removal of which would deny the HSV system of useful information. ... to the NN. International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-1, Issue-1, October 2011 73 Neural Network- based Offline Handwritten Signature Verification...
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- recurrent neural network based language model
- recurrent neural network language model
- recurrent neural network language model toolkit
- recurrent neural network based language model bibtex
- recurrent neural network based language modeling in meeting recognition
- recurrent neural network based language model interspeech 2010
- towards recurrent neural network language models with linguistic and contextual features
- extensions of recurrent neural network language model
- differential recurrent neural network based predictive control
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