Grammar-Based Feature Generation for Time-Series Prediction

Discover innovative strategies for time-series prediction in "Grammar-Based Feature Generation for Time-Series Prediction" by Anthony Mihirana Mihirana De Silva. Published by Springer Verlag in 2015, this insightful paperback spans 99 pages and introduces a groundbreaking approach that leverages machine learning techniques alongside automatic feature generation. This novel method effectively represents complex feature dependencies, addressing scenarios where traditional machine learning may fall short. Ideal for researchers and practitioners alike, this book provides a comprehensive understanding of how to enhance predictive accuracy through advanced feature engineering. Dive into this essential resource to elevate your machine learning projects and unlock new potentials in time-series analysis.