context dependent recurrent neural network language model
Tài liệu Evolving the neural network model for forecasting air pollution time series pdf
Ngày tải lên :
17/02/2014, 22:20
... 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...
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Tài liệu Báo cáo khoa học: "Context-dependent SMT Model using Bilingual Verb-Noun Collocation" doc
Ngày tải lên :
20/02/2014, 15:20
... statistical machine
translation model as an alternative to the classical
IBM-style model. This model is tightly coupled
with target language model and utilizes bilingual
context information. It is ... translation
models have adopted the noisy-channel based IBM
style models (Brown et al., 1993):
(1)
In these model, we have two types of knowledge:
translation model,
and language model,
. The ... word translation model and a bi-
gram language model. The bi-gram language
model was generated by using CMU LM toolkit
(Clarkson et al., 1997). Instead of using a fer-
tility model, we allowed...
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Báo cáo khoa học: "Automatic Acquisition of Language Model based on Head-Dependent Relation between Words" pdf
Ngày tải lên :
08/03/2014, 05:21
... Preliminary experiments
We have experimented with three language
models, tri-gram model (TRI), bi-gram model
(BI), and the proposed model (DEP) on a raw
corpus extracted from KAIST corpus ... DEP model
with very slight increase in entropy.
5 Conclusions
In this paper, we presented a language model
based on a kind of simple dependency gram-
mar. The grammar consists of head -dependent ... the proposed language model per-
forms better than n-gram models in test cor-
pus entropy. This means that the reestimation
algorithm can find out the hidden information
of head -dependent relation...
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Automatic text extraction using DWT and Neural Network
Ngày tải lên :
05/11/2012, 14:51
... the neural network
2.2 Neural Network
In this subsection, text extraction from static image
or video sequences is accomplished using the
back-propagation (BP) algorithm on a neural network. ... Those features are used as the input of a
neural network for training based on the
back-propagation algorithm for neural networks.
After the neural network is well trained, new input
data will ... network.
The training of the neural network is based on the
features we obtain from the DWT detail component
sub-bands. As shown in Figure 6, the proposed neural
network architecture is simpler...
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Text extraction from name cards using neural network
Ngày tải lên :
05/11/2012, 14:54
... Binarization result
IV. CONCLUSION AND FUTURE
WORKS
A neural network based method is discussed in this
paper. The features used for the neural network are not
only the spatial characteristics but ... width and height, there are
totally 14 features used for the neural network analysis.
D. Contours classification using neural network
We extract the above features which are helpful for
classification ...
Backpropagation neural network can handle any nonlinear
relationship after training including the complicated inter-
relationship between the features. Making use of neural
networks will also...
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Mô hình mạng neural network
Ngày tải lên :
29/09/2013, 06:20
... gọn như sau :
Mạng nhiều lớp neuron
CHƯƠNG 2
MÔ HÌNH MẠNG NEURAL NETWORKS
Mô hình mạng Neural tổng quát có dạng như sau :
Ngày nay mạng Neural có thể giải quyết nhiều vấn đề phức tạp đối với con ... định dạng của dữ liệu vào ảnh hưởng đến việc mô phỏng của mạng. Có hai loại mạng
static network và dynamic network. Hai kiểu vector đầu vào cơ bản là kiểu xảy ra đồng thời
(concurrently) và kiểu ... trong lớp
a : vector ngõ ra của lớp neuron
Hàm truyền
Có rất nhiều hàm truyền áp dụng trong Neural Networks, trong đó ba hàm thường sử dụng nhất
là Hard Limit, Linear, Log-Sigmoid.
Tổng quát...
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043_Nghiên cứu mạng Neural Network trong nhận dạng chữ viết
Ngày tải lên :
06/10/2013, 20:20
... một lớp ẩn và một
lớp đầu ra (ouput).
Chức năng chính của chương trình:
- Xây dựng mạng Neural Networks và khởi
tạo trọng số (Weight) một cách thường xuyên.
- Phân tích ảnh điểm của những ... Tính toán lỗi (error), điểm ra (output) và
trọng số (weight) thường xuyên.
- Xây dựng mạng Neural Network.
1) Huấn luyện mạng
Lưu đồ giải thuật huấn luyện mạng của
chương trình:
2) Thực ... AI Lab
http://ai.stanford.edu/~nilsson
[4] Offline Handwring Recognition Using
Artificial Neural Networks
© 2000, Andrew T.Wilson
University of Minnesota, Morris
...
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Tài liệu Handbook of Neural Network Signal Processing P2 docx
Ngày tải lên :
12/12/2013, 23:15
... method for neural networks,
in
Neural Networks for Speeach and Image Processing,
R.J. Mammone, Ed., Chapman & Hall, Boca
Raton, FL, 1993.
[10] A. Krogh and J. Vedelsby, Neural networks ensembles, ... Chapter 13: Hierarchical Fuzzy Neural Networks for Pattern Classification. In this
chapter, Taur, Kung, and Lin introduce the decision-based neural network, a modular
network, and its applications ... (LVQ) neural
network. The above discussion is summarized in Table 1.5.
TABLE 1.5 Pattern Classification Methods and Corresponding Neural
Network Implementations
Pattern Classification Methods Neural...
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- recurrent neural network based language model
- recurrent neural network language model
- recurrent neural network language model toolkit
- extensions of recurrent neural network based language model
- recurrent neural network based language model bibtex
- recurrent neural network based language modeling in meeting recognition