Compared with other types of neural networks, General Regression Neural Network (Specht, 1991) is advantageous in several aspects. Being an universal approximation function, GRNN has only one tuning parameter to...continue reading.
A. Background The growth of womens powerlifting has been a interesting thing to witness over the past decade. There have been massive increases in strength and world records have been...continue reading.
In my previous post https://statcompute.wordpress.com/2019/02/03/sobol-sequence-vs-uniform-random-in-hyper-parameter-optimization/, I’ve shown the difference between the uniform pseudo random and the quasi random number generators in the hyper-parameter optimization of machine learning. Latin Hypercube Sampling...continue reading.
This was a thread on Twitter but I wanted to share it here for a different audience. Today’s thought (actually … Morecontinue reading.
A. Background The Open Powerlifting initiative attempts to create an accurate and open archive of all powerlifting meet data throughout the world. As someone who recently started competing again after...continue reading.
I’m not saying this is a good idea, but bear with me. A recent question on Stack Overflow [r] asked why a random forest model was not working as expected....continue reading.
This was a thread on Twitter, and I thought should reach a different audience here too. If you wonder why … Morecontinue reading.