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Published in:
2018 | OriginalPaper | Chapter
8. Predictive Modeling with Notion of Time
Authors : Mark Hoogendoorn, Burkhardt Funk
Published in: Machine Learning for the Quantified Self
Publisher: Springer International Publishing
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Abstract
This chapter focuses on supervised learning approaches that do take time into account explicitly. Times series approaches are explained as well as recurrent neural networks (including echo state networks). In addition, parameter optimization techniques that can be used to fine-tune more knowledge driven predictive temporal models (dynamical systems models) are discussed.