11910 search results - page 478 / 2382 » Online Learning Algorithms |
172
Voted
NPL
2000
15 years 6 months ago
2000
A backpropagation learning algorithm for feedforward neural networks with an adaptive learning rate is derived. The algorithm is based upon minimising the instantaneous output erro...
201
Voted
NIPS
2008
15 years 8 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
208
Voted
ENC
2004
IEEE
15 years 10 months ago
2004
IEEE
A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evalua...
156
Voted
ECML
2007
Springer
16 years 1 months ago
2007
Springer
In this paper we investigate the relation between transfer learning in reinforcement learning with function approximation and supervised learning with concept drift. We present a n...
188
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LSSC
2007
Springer
16 years 1 months ago
2007
Springer
We present a general framework for analysis and design of optimization based numerical feedback stabilization schemes utilizing ideas from relaxed dynamic programming. The applicat...