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...
সংরক্ষণ করুন:
| প্রধান লেখক: | , |
|---|---|
| বিন্যাস: | Artigo |
| ভাষা: | Inglês |
| প্রকাশিত: |
Wiley
2013-01-01
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| মালা: | Abstract and Applied Analysis |
| অনলাইন ব্যবহার করুন: | http://dx.doi.org/10.1155/2013/139318 |
| ট্যাগগুলো: |
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