Grammar-based feature generation for time-series prediction
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounde...
| Huvudupphovsmän: | , |
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| Materialtyp: | Electronic Resource |
| Språk: | English |
| Publicerad: |
Singapore
Springer Singapore
[2015]
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| Ämnen: | |
| Länkar: | Available for University of the Philippines System via SpringerLink. Click here to access Also available remotely for University of the Philippines System via SpringerLink. Click here to access thru EZproxy |


