374 search results - page 22 / 75 » Training the random neural network using quasi-Newton method... |
106
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APIN
2004
14 years 11 months ago
2004
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
123
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ANNPR
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Recently, the authors described a training method for a convolutional neural network of threshold neurons. Hidden layers are trained by by clustering, in a feed-forward m...
NECO
2007
14 years 11 months ago
2007
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
135
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ECRIME
2007
15 years 3 months ago
2007
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...
120
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IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...