8 search results - page 2 / 2 » An LVQ-based adaptive algorithm for learning from very small... |
IWANN
1999
Springer
13 years 9 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
VLSID
1998
IEEE
13 years 9 months ago
1998
IEEE
With several commercial tools becoming available, the high-level synthesis of applicationspeci c integrated circuits is nding wide spread acceptance in VLSI industry today. Existi...
ESANN
2006
13 years 6 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...