Grammar-Based Feature Generation for Time-Series Prediction

• Κύριοι συγγραφείς: De Silva, Anthony Mihirana (Συγγραφέας), Leong, Philip H. W. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2015.
• Σειρά: SpringerBriefs in Applied Sciences and Technology,
• Θέματα: Engineering.; Pattern recognition.; Economics, Mathematical.; Computational intelligence.; Computational Intelligence.; Pattern Recognition.; Quantitative Finance.

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...

Πίνακας περιεχομένων:

• Introduction
• Feature Selection
• Grammatical Evolution
• Grammar Based Feature Generation
• Application of Grammar Framework to Time-series Prediction
• Case Studies
• Conclusion.