Global ETD Search
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Showing 1 to 2 of 2 for “"time series embedding"”.
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Detecting and Addressing Model Structural Error in Forecasting for Model Predictive Control
… different dynamical system modeling approaches, time-series embedding, and data-driven and machine learning techniques in literature are presented and how structural model error can be leveraged in improving prediction in chaotic systems like Lorenz and Kinetic Swinging Sticks. Using great models …
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Machine Learning-Driven Decision Making based on Financial Time Series
L'abstract è presente nell'allegato / the abstract is in the attachment