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