Machine Learning uses Kernels.  At least it tries when it can. A Kernel is an operator on a Hilbert Space. … More

This post is still just  sketch of ideas…not ready for consumption In my last post I introduced the Eigenvalue-Dependent Effective (Semantic) … More

I a previous post, I introduced the Effective Regression Operator for supervised (and semi-supervised) Machine Learning problems.  Here, I will … More

We consider a very common example of Machine Learning problem as an application to the Effective Operator Framework:  Simple SemiSupervised … More

This would not be a pedagogic machine learning blog if I did not go into some overly abstract formalism…here we … More

Introduction Frequently in science, simple models work well beyond their expected range of accuracy and application, and can be essential … More

What is a Kernel?  Really?   What is the actual mathematical motivation? Most machine learning texts introduce the Kernel  as … More