التفاصيل البيبلوغرافية
| العنوان: |
State-Space Inference and Learning with Gaussian Processes |
| المؤلفون: |
Turner, R, Deisenroth, MP, Rasmussen, CE |
| المساهمون: |
Teh, YW, Titterington, M |
| المصدر: |
AISTATS 2010 ; 875 ; 868 |
| بيانات النشر: |
JMLR |
| سنة النشر: |
2010 |
| المجموعة: |
Imperial College London: Spiral |
| جغرافية الموضوع: |
Sardinia, Italy |
| الوصف: |
State-space inference and learning with Gaussian processes (GPs) is an unsolved problem. We propose a new, general methodology for inference and learning in nonlinear state-space models that are described probabilistically by non-parametric GP models. We apply the expectation maximization algorithm to iterate between inference in the latent state-space and learning the parameters of the underlying GP dynamics model. Copyright 2010 by the authors. |
| نوع الوثيقة: |
conference object |
| اللغة: |
unknown |
| العلاقة: |
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010); http://hdl.handle.net/10044/1/12212Test |
| الإتاحة: |
http://hdl.handle.net/10044/1/12212Test |
| حقوق: |
© 2010 The Authors ; http://www.rioxx.net/licenses/all-rights-reservedTest |
| رقم الانضمام: |
edsbas.7A68234E |
| قاعدة البيانات: |
BASE |
