Machine Learning uses Kernels. At least it tries when it can. A Kernel is an operator on a Hilbert Space. Or we might say that
Month: September 2012
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.
