Figure 1 I’m not sure what this truly means or that anyone is, but I think it wants to mean something like quantifying architectures that make it “easier” to learn about the phenomena of interest. This is a practical engineering discipline in NNs but maybe also intersting to think about in humans.| The Dan MacKinlay stable of variably-well-consider’d enterprises
If you’re a practitioner of machine learning, then there is little doubt you have seen or used an algorithm that falls into the general category of kernel methods. The premier example of such methods is the support vector machine. When introduced to these algorithms, one is taught that one must provide the algorithm with a kernel function that, intuitively, computes a degree of “similarity” between the objects you are classifying. In practice, one can get pretty far with only this under...| Matthew N. Bernstein