Regularized Least Square Regression with Unbounded and Dependent Sampling
This paper mainly focuses on the least square regression problem for the -mixing and -mixing processes. The standard bound assumption for output data is abandoned and the learning algorithm is implemented with samples drawn from dependent sampling process with a more general output data condition. C...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Wiley
2013-01-01
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| Serier: | Abstract and Applied Analysis |
| Online adgang: | http://dx.doi.org/10.1155/2013/139318 |
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