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a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.

0 votes
1 answer
26 views

Algorithm or function or model that encourages clustered classfication?

I have a soft classfication problem, i.e., the correct label for a certain instance is not just one class with 100% probability, but rather bunch of classes with probabilities that sum up to one. Wha …
Alex Deft's user avatar
  • 157
2 votes
1 answer
6k views

How to normalize complex-valued data?

I'm taking the abs of all elements, compute the mean, subtract it off from the original values. I just feel that this is not correct and can change the vectors. I'm also dividing by the standard devia …
Alex Deft's user avatar
  • 157