210 search results - page 31 / 42 » Continuous Neural Decoding Method Based on General Regressio... |
126
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
131
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ESANN
2006
15 years 4 months ago
2006
This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial imm...
151
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FLAIRS
2004
15 years 4 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
133
Voted
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
138
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TNN
1998
15 years 2 months ago
1998
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...