1895 search results - page 155 / 379 » Function learning from interpolation |
105
Voted
FOCS
2005
IEEE
15 years 8 months ago
2005
IEEE
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
114
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IJON
2006
15 years 2 months ago
2006
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
118
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CORR
2007
Springer
15 years 2 months ago
2007
Springer
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
137
Voted
ESANN
2006
15 years 4 months ago
2006
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
144
Voted
APIN
1998
15 years 2 months ago
1998
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...