641 search results - page 42 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
JCIT
2008
14 years 9 months ago
2008
In this paper we propose methods to utilize Artificial Neural Networks to obtain knowledge for the management of educational resources. The final evaluations provide us a model th...
CEC
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract— A combination of backpropagation and neuroevolution is used to train a neural network visual controller for agents in the Quake II environment. The agents must learn to...
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ICT
2004
Springer
15 years 3 months ago
2004
Springer
We propose a new approach to fault detection and diagnosis in third-generation (3G) cellular networks using competitive neural algorithms. For density estimation purposes, a given ...
ICONIP
2008
14 years 11 months ago
2008
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
NECO
2007
14 years 9 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...