Gaussian processes for pattern recognition applications
Gaussian process (GP) is a stochastic process that has been studied for a long time and gained wide interests in the machine learning community in recent years. In this thesis, several interesting pattern analysis problems are solved using Gaussian process. Gaussian process models can be interpreted...
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| Format: | Thesis |
| Language: | English |
| Published: |
2009
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| Online Access: | https://hdl.handle.net/10356/19301 |