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...
| Main Authors: | , |
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| Corporate Author: | |
| Language: | English |
| Published: |
Singapore :
Springer Singapore : Imprint: Springer,
2015.
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| Edition: | 1st ed. 2015. |
| Series: | SpringerBriefs in Computational Intelligence,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-981-287-411-5 |
Table of Contents:
- Introduction
- Feature Selection
- Grammatical Evolution
- Grammar Based Feature Generation
- Application of Grammar Framework to Time-series Prediction
- Case Studies
- Conclusion.