E09-1017 |
also very high -- over 90 % for a
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multi-layer perceptron
|
classifier . We also test the
|
H91-1052 |
the normalization experiment , a
|
multi-layer perceptron
|
( MLP ) was proposed to estimate
|
H91-1031 |
constraints , we have chosen to use the
|
multi-layer perceptron
|
( MLP ) \ -LSB- 7 \ -RSB- . In
|
H90-1074 |
been investigating the use of
|
multi-layer perceptrons
|
for phonetic classification .
|
H94-1068 |
we have explored , is based on
|
multi-layer perceptrons
|
( MLP ) . The MLP has 3 lay -
|
H90-1074 |
phonetic classification based on
|
multi-layer perceptrons
|
( MLP ) . These experiments involve
|
E09-1017 |
Overall the best classifier is the
|
multi-layer perceptron
|
. On the task using all available
|
H92-1038 |
probabilities are estimated with separate
|
multi-layer perceptrons
|
. 2.2 . Classification Component
|
N10-1124 |
toolkit3 : decision trees , SVM ,
|
multi-layer perceptron
|
and Naive Bayes . Combining multiple
|
D10-1018 |
investigated both finite state and
|
multi-layer perceptron
|
methods for the task , where
|
H05-1009 |
In our experiments , we used a
|
multi-layer perceptron
|
( MLP ) consisting of 1 input
|
H94-1113 |
completed . It consists of 13
|
multi-layer perceptrons
|
( MLP ) , one for each of the
|
H91-1054 |
difference between speakers . As
|
multi-layer perceptrons
|
( MLP ) can be used to approximate
|
D15-1277 |
using f ( Si ) as input . We use a
|
multi-layer perceptron
|
as the prediction model . The
|
E09-1017 |
, support vector machines and
|
multi-layer perceptron
|
perform similarly , with support
|
N12-2009 |
) , non-linear models such as
|
multi-layer perceptrons
|
with more than one hidden layer
|
H91-1028 |
acceptance " or " rejection " by a
|
multi-layer perceptron
|
( MLP ) . This rejection procedure
|
H05-1009 |
classifiers . 3 Neural Networks A
|
multi-layer perceptron
|
( MLP ) is a feed-forward neural
|
H91-1054 |
speakers . Because of this , the
|
multi-layer perceptron
|
( MLP ) with the back-propagation
|
E97-1005 |
to all output units ) , and a
|
multi-layer perceptron
|
with all input units connected
|