Blog Posts eric-kim.net

  • "Everything You Wanted to Know About the Kernel Trick (But Were Too Afraid to Ask)"
    • Released: January 9th, 2013 (1-9-2013)
    • Summary: An explanation of the Kernel Trick, framed in the context of Support Vector Machines (SVMs). We investigate how using a kernel allows a linear SVM to efficiently learn nonlinear decision boundaries.
    • Keywords: Machine Learning, Kernels. Support Vector Machines, SVM, classification.