The multimodal distribution is a distribution with multiple modes as shown below.
It reminds me of the multimodal machine learning where multimodal implies multiple types of information, just like that in multimedia, thus I wonder if multimedia machine learning or multimedia deep learning would be more appropriate?
Does the multimodal machine learning have some connections with the multimodal distribution?
They're unrelated. So-called multimodal machine learning operates on multiple input modalities. That is, input signals of different types (e.g. auditory and visual input). Multimodal distributions have probability density/mass functions with multiple modes (i.e. peaks). The existence of multiple input modalities doesn't imply anything about multiple modes in the input distribution, or any other distribution.
