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Boosted Embeddings for Time Series

Data Skeptic

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Aiming for a Seasonal Component?

Thik deep g b opens up a lot of opportunities for other interesting lines of research. The order in which you' remove them bedings, was very important to us. We believe like if you have heavily varying time series, covarying time series, or like other category data, then you don't remove that embedding. So we fixed an order in the paper, but we wanted to study it more and come up with like, indubitively.

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