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[R] Function which takes as input two vectors of the same dimension from different spaces and produces a single latent vector

Hey!

I was working on an extreme multi-label classification task of which one of the modules is to create a function that would take a single document vector and label vector (both of 300 dimensions but created separately and so from different vector spaces) and would produce a new latent vector which would be binarily classifiable. My current naive approach is to simply concatenate the two vectors.

Could you please suggest some techniques, features or a general direction or topic to study. Any idea would be greatly appreciated as I have been at a total loss on how to proceed further.

Thank you!

submitted by /u/atif_hassan
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.