559 search results - page 69 / 112 » Neural methods for non-standard data |
183
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ESANN
2008
15 years 5 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
126
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SMC
2007
IEEE
15 years 10 months ago
2007
IEEE
—Rain and snow can have a distorting effect on Ku and Ka bands signal fidelity resulting in excessive digital transmission errors. This loss of signal attenuation is commonly ref...
133
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ISNN
2007
Springer
15 years 10 months ago
2007
Springer
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
133
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ISNN
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. The present study investigates a geometrical method for optimizing the kernel function of a support vector machine. The method is an improvement of the one proposed in [4...
131
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NN
2006
Springer
15 years 4 months ago
2006
Springer
In a number of engineering problems, e.g. in geotechnics, petroleum engineering, etc. intervals of measured series data (signals) are to be attributed a class maintaining the cons...