385 search results - page 27 / 77 » On higher-order perceptron algorithms |
168
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ESANN
2008
15 years 7 months ago
2008
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
161
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CORR
2010
Springer
15 years 5 months ago
2010
Springer
Artificial neural networks have already shown their success in face recognition and similar complex pattern recognition tasks. However, a major disadvantage of the technique is th...
153
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IJON
2010
15 years 9 days ago
2010
This paper presents a novel methodology to infer parameters of probabilistic models whose output noise is a Student-t distribution. The method is an extension of earlier work for ...
175
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ICML
2009
IEEE
16 years 6 months ago
2009
IEEE
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
198
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ISNN
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...