discriminative training of a neural network statistical parser
Báo cáo khoa học: "Discriminative Training of a Neural Network Statistical Parser" pdf
Ngày tải lên :
23/03/2014, 19:20
... uses a large-vocabulary
tagger (Ratnaparkhi, 1996) as a preprocessing
stage may compensate for its smaller vocabu-
lary. Also, the main reason for using a smaller
vocabulary is the computational ... Empirical Methods in Natural
Language Processing, pages 133–142, Univ. of
Pennsylvania, PA.
Adwait Ratnaparkhi. 1999. Learning to parse
natural language with maximum entropy
models. Machine Learning, ... Head-Driven Statistical
Models for Natural Language Parsing. Ph.D.
thesis, University of Pennsylvania, Philadel-
phia, PA.
Michael Collins. 2000. Discriminative rerank-
ing for natural language parsing....
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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
Ngày tải lên :
22/12/2013, 08:16
... Therefore,
it appears logical that a feedforward backpropagation-type
ANN which has high computational capability can implement
an SVM algorithm. Note that the ANN has inherent learning
capability that can ... undermodulation range. A
simulated DSP-based modulator generates the data which are
used to train the network by a backpropagation algorithm in
the MATLAB Neural Network Toolbox. The performance of an
open-loop ... Patent Medal (1986), GE Publication
Award (1985), and a number of prize paper awards.
MONDAL et al.: A NEURAL- NETWORK- BASED SPACE VECTOR PWM CONTROLLER 663
III. N
EURAL
-N
ETWORK
-B
ASED
S
PACE
-V
ECTOR
PWM
The...
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Báo cáo khoa học: Unravelling the functional interaction structure of a cellular network from temporal slope information of experimental data docx
Ngày tải lên :
07/03/2014, 21:20
... cerevisiae
MAP kinase cascades typically composed of three tiers of
protein kinases, a MAP kinase (MAPK), a MAPK kinase
(MAPKK) and a MAPKK kinase (MAPKKK), are
common signalling modules in eukaryotic ... cellu-
lar network structure based on stationary experimental
data, which is applicable to a network of generalized
modules under the assumption that each module con-
tains at least one intrinsic parameter ... differential equations. Pac Symp Bio-
comput 4, 29–40.
8 Arkin A, Ross J & McAdams HH (1998) Stochastic
kinetic analysis of developmental pathway bifurcation in
phage lambda-infected Escherichia...
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designing and implementing a neural network library for handwriting detection, image analysis etc
Ngày tải lên :
28/04/2014, 10:10
... the training phase, and the number of times we trained the network.
4.1. Training Phase
This section explains how the training takes place, in a back ward propagation neural network. In a backward
propagation ... particular X-Ray has a fracture or not. After training the network a
number of times with a number of samples like this (probably thousands of samples), it is assumed that the neural
network can 'detect' ... they are mainly inspired by the human brain. This doesn't
mean that Artificial Neural Networks are exact simulations of the biological neural networks inside our brain - because
the actual...
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a neural network model for limb trajectory formation
Ngày tải lên :
28/04/2014, 10:16
... Massachusetts Avenue, Cambridge, MA 02139, USA
Abstract. This paper deals with the problem of repre-
senting and generating unconstrained aiming move-
ments of a limb by means of a neural network ... that the motor
strategy remains basically the same in both intact and
spinal animals. This result suggests that the basic
motor programs for this particular task are generated
at the spinal ... include building a neural- network archi-
tecture capable of providing a uniform representa-
tional framework for environment and movements
(Hogan 1984). The analogical nature of neural net-
works...
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báo cáo hóa học: " Comparison of the discriminative ability of a generic and a condition-specific OHRQoL measure in adolescents with and without normative need for orthodontic treatment" potx
Ngày tải lên :
18/06/2014, 19:20
... words,
occlusal traits that affect dental appearance and have an
impact on participants' daily lives may not be captured by
IOTN. In addition, DAI has many more measures of
malocclusion affecting ... eruption, defects of cleft lip and pal-
ate as well as any craniofacial anomaly, Class II and Class
III buccal occlusions, and hypodontia. Only the highest
scoring trait is used to assess treatment need ... for
individuals who have a DHC grade of 4 or 5, or grade 3
with an AC of 6 or above. All other cases were therefore
classified as having no need. For DAI, 10 occlusal traits
were assessed and a score was...
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Báo cáo hóa học: "Investigating the synchronization of hippocampal neural network in response to acute nicotine exposure" pdf
Ngày tải lên :
19/06/2014, 08:20
... pass filtered
with a cut off at 1 kHz. All signals were then transferred
to a PC for later analysis. Offline analysis was done on
Matlab using various tools such as approximate entropy
and Matching ... subcortical
areas and the hippocampus. Hippocampal neurons play a
critical role in information processing and decision mak-
ing.
Although many components of tobacco smoke are
harmful to the brain, and ... oscilla-
tions. We used a nonlinear dynamics approach for data
analysis since the γ oscillations reflect the integrated
properties of the underlying dynamics of the hippocam-
pal neural network and...
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Báo cáo khoa học: "Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets" ppt
Ngày tải lên :
23/03/2014, 18:20
... trained using manually annotated (‘seed’) data,
then the model is used to automatically annotate a
pool of unannotated (‘self -training ) data, and then
the manually and automatically annotated ... amounts of unannotated data
that are becoming available today and to the high
cost of manual annotation.
In this paper we use self -training to enhance the
performance of a generative statistical PCFG ... Protocols
There are many possible ways to do self -training.
A main goal of this paper is to identify a self-
training protocol most suitable for enhancement and
domain adaptation of statistical parsers trained...
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a comparison of neural network architectures for
Ngày tải lên :
28/04/2014, 10:10
... statistical measurement of the capability of a
feature to separate digit classes. If the information
measure of a feature is high, it indicates that the feature
is able to separate at least ... image. A value of 0 indicates that a feature
template did not match the digit image; a value of 1
indicates a complete match; and values in between
these two extremes indicate a partial match. ... use of neural network learning
techniques for this type of application and data set, and
insight about the appropriate design, use, and
parameterization of the network to achieve acceptable...
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