## Eigenvalue-Independent Effective (Semantic) Operator

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

## Effective Operators for Eigenvalues and Clustering

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,

## Effective Operators part 2: Simple SemiSupervised Learning

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

## Kernels and Quantum Gravity Part 3: Coherent States

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

## Dimensional Reduction via an Effective Operator

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.

## Kernels Part 2: Affine Quantum Gravity, continued

What is a Kernel?  Really?   What is the actual mathematical motivation? Most machine learning texts introduce the Kernel  as some horribly abstract , infinite,