Time2Vec learns a vector representation of time that improves model performance when used in place of raw time inputs across various models and problems.
Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data.Journal of Machine Learning Research, 8(Mar):693–723
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Time2Vec: Learning a Vector Representation of Time
Time2Vec learns a vector representation of time that improves model performance when used in place of raw time inputs across various models and problems.