Study of Machine Learning Parameters for Robustness

NOTE: Robustness reported in this article is being revised with corrections in derivative calculations. Updated results will be published shortly from these corrections. Introduction A natural approach of understanding an unknown model is to get some sample points from the model and use these points to build a response surface model (RSM) to represent the…

April 29, 2024 | by

Curve reconstruction procedure for use in Machine Learning

Introduction Given a set of points, we want to construct a curve that shares some specific patterns described by a group of curves. From the description of the problem, there are two pieces of information available to us. First, the points available (Prediction Points) are part of an unknown curve we want to reconstruct. Second,…

August 10, 2022 | by

Introduction and Application of d3VIEW-ML

Machine learning is a data analysis technique that builds a model with the data and uses the model to predict. It learns from the data, identifies patterns and produces reliable predictions that help with decision making. As modern computational techniques advance, machine learning becomes more and more popular. There are two major groups of learning…

July 21, 2022 | by