1859 search results - page 51 / 372 » Using Problems to Learn Service-Oriented Computing |
146
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ACSC
2008
IEEE
15 years 6 months ago
2008
IEEE
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
224
Voted
VLSISP
2011
14 years 11 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
165
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JAIR
2002
15 years 4 months ago
2002
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
142
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IWANN
1999
Springer
15 years 8 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...
155
Voted
NN
2008
Springer
15 years 4 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...