I was read and paper for machine learning, and i found this term multi-hot encoding without explanation. Can you help me please? the paper: https://arxiv.org/abs/2001.06917
Topic machine-learning-model one-hot-encoding encoding machine-learning
Category Data Science
Without having read the paper, from the name I would say a multi-hot encoding is a matrix $X \in \{0,1\}^{n \times m }$, with $\sum_{i = 1}^{n} X_{i,j} = 1, \forall j = 1,\ldots,m$.
You obtain the normal hot-encoding by setting $m=1$.
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