Improving Machine Learning

Treatment and analysis of outliers and noise are key to improve these methods.   The claim here is that this will be improved.  Remains to be seen how well this will work.  Technical.

Mathematicians propose new way of using neural networks to work with noisy, high-dimensional data   by RUDN University 

Mathematicians from RUDN University and the Free University of Berlin have proposed a new approach to studying the probability distributions of observed data using artificial neural networks. The new approach works better with so-called outliers, i.e., input data objects that deviate significantly from the overall sample. The article was published in the journal Artificial Intelligence.  ... "