3250 search results - page 389 / 650 » Parameterized Learning Complexity |
133
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ICANN
2001
Springer
15 years 9 months ago
2001
Springer
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
164
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ACSE
2000
ACM
15 years 9 months ago
2000
ACM
The demand for and expectation of ubiquitous access to multimedia online learning resources are much higher amongst computer science students than other fields of study. Previous ...
117
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ICCV
1999
IEEE
15 years 8 months ago
1999
IEEE
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of ...
227
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COLT
1992
Springer
15 years 8 months ago
1992
Springer
This paper deals with finite size networks which consist of interconnections of synchronously evolving processors. Each processor updates its state by applying a "sigmoidal&q...
148
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ECML
2006
Springer
15 years 8 months ago
2006
Springer
Nearest neighbor forecasting models are attractive with their simplicity and the ability to predict complex nonlinear behavior. They rely on the assumption that observations simila...