recurrent neural network based language model

... Hz). (a) Neural- network- based SVM. (b) Equivalent DSP -based SVM. Fig. 11. Machine line voltage and phase current waves in mode 2 (40 Hz). (a) Neural- network- based SVM. (b) Equivalent DSP -based SVM. ... FOR N EURAL N ETWORK Neural- network- based SVM for a two-level inverter has been described in the literature [2], [3]. It will now be extended to a 0093-9994/02$17.00 © 2002 IEEE MONDAL et al.: A NEURAL- NETWORK- BASED ... Volts/Hz-controlled drive dynamic performance with (a) neural- network- based SVM and (b) equivalent DSP -based SVM. the ANN operates at a higher resolution. The network is solved every sampling time to establish...

Ngày tải lên: 22/12/2013, 08:16

... | (1) The language model weight λ and the word inser- tion penalty ip lead to a better performance in prac- tice, but they have no theoretical justification. Our grammar -based language model is ... grammar -based language model. To this end, we used a baseline speech recognition system which provided the N best hypotheses of an utterance along with their respective scores. The grammar- based language ... of phrases or words is computed. 2.4 Model Parameters Besides the distributions required to specify P (T ), our language model has three parameters: the lan- guage model weight µ, the attachment probability q...

Ngày tải lên: 17/03/2014, 02:20

... Activity Network- based Process Models Production and Operations Management 16(2), pp. 217–240, © 2007 Production and Operations Management Society 239 A Survey of Activity Network- Based Process Models ... particular class of models, activity -based models, which view a project as a process, decomposed into a network of activities. Thus, we do not include in our survey most systems dynamics models (e.g., ... 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 it would seem that a model of what work...

Ngày tải lên: 23/03/2014, 04:20

... 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 word unigram and word bigram models are ... DD-6-MI-Trigger model represents a distance-dependent MI- Trigger -based model with a window size of 6. All the models are built on the XinHua corpus of 29M words. Let's take the DD-6-MI-Trigger model ... in a trigger -based model will be conducted in Section 5. For simplicity, we represent a trigger pair as XX-ws-MI-Trigger, and call a trigger -based model as the XX-ws-MI-Trigger model, while...

Ngày tải lên: 23/03/2014, 19:20

... class -based models can be built just like word -based n-gram models using existing infrastructure. In addition, the size of the model is usually greatly reduced. 2.1 One-Sided Class -Based Models Two-sided ... different class -based models with the word -based model in comparison to the BLEU scores by a system using only the word -based model on the Arabic-English translation task. dev test nist06 word -based only ... resulting from using class -based models by using more sophisticated techniques for combining them with word -based models such as linear inter- polations of word- and class -based models with coef- ficients...

Ngày tải lên: 31/03/2014, 00:20

... tested this hy- pothesis by using a separate neural network to ar- bitrate among multiple detection networks. It was found that the neural network- based arbitrationpro- duces results comparable ... Kanade tk@cs.cmu.edu http://www.cs.cmu.edu/˜tk Abstract We present a neural network- based face detection system. A retinally connected neural network ex- amines small windows of an image, and decides whether ... outputfroma single network are shown in Figure 2. In the figure, each box represents the position and size of a window to which the neural network gave a positive response. The network has some...

Ngày tải lên: 28/04/2014, 09:58

... recognition/detection by probabilis- tic decision -based neural network. IEEE Transactions on Neural Networks, Special Issue on Artificial Neural Networks and Pattern Recognition, 8(1), January 1997. [ Moghaddam ... Zhang and John Fulcher. Face recognition using artificial neural network group -based adaptive tolerance (GAT) trees. IEEE Transactions on Neural Networks, 7(3):555–567, 1996. 13 Figure 4: Left: Average ... 4: Networks trained with derotated examples, but applied at all 18 orientations. Upright Test Set Rotated Test Set System Detect % # False Detect % # False Network 1 90.6% 9140 97.3% 3252 Network...

Ngày tải lên: 28/04/2014, 09:58

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Ngày tải lên: 29/12/2013, 11:17

... and comparison of models. Journal of Geophysical Research 90 (C5), 8995–9005. Yao, X., 1999. Evolving artificial neural networks. Proceedings of the IEEE Transactions on Neural Networks 87 (9), ... concentration). Neural networks, in particular the multi-layer perceptron (Hornik et al., 1989), provide a flexible and non-linear tool for tackling regression problems in the air quality modelling ... (Hornik et al., 1989), which states that a two- hidden layer network may achieve the same accuracy with a single hidden layer neural network with fewer hidden layer neurons. However, the use of...

Ngày tải lên: 17/02/2014, 22:20

... incorporate large- scale n-gram language models in conjunction with incremental syntactic language models. The added decoding time cost of our syntactic language model is very high. By increasing ... trans- lation has effectively used n-gram word sequence models as language models. Modern phrase -based translation using large scale n-gram language models generally performs well in terms of lexical ... LMs. Syntactic language models have also been explored with tree -based translation models. Charniak et al. (2003) use syntactic lan- guage models to rescore the output of a tree -based translation...

Ngày tải lên: 20/02/2014, 04:20