This post is still just sketch of ideas…not ready for consumption In my last post I introduced the Eigenvalue-Dependent Effective (Semantic) Operator as a Semantic Similarity
I a previous post, I introduced the Effective Regression Operator for supervised (and semi-supervised) Machine Learning problems. Here, I will introduce a different Effective Operator,
We consider a very common example of Machine Learning problem as an application to the Effective Operator Framework: Simple SemiSupervised Learning Suppose we have N
This would not be a pedagogic machine learning blog if I did not go into some overly abstract formalism…here we introduce the Kernel formalism using
Introduction Frequently in science, simple models work well beyond their expected range of accuracy and application, and can be essential to provide intuition and insight.
What is a Kernel? Really? What is the actual mathematical motivation? Most machine learning texts introduce the Kernel as some horribly abstract , infinite,