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

Interpolation methods for time series data

It is not unusual that due to various limitations, researchers can only collect limited number of samples. Meanwhile, for many analyses, we desire a higher resolution. In two-dimension case, we have X and Y coordinates of our points. We are interested in what happens in between any of the two points. We can draw a…

April 29, 2022 | by

Visualizing LS-OPT®Sampling points in d3VIEW

LS-OPT offers several sampling schemes among which D-OPT, Space filling and Latin Hypercube are among the popular schemes. Using d3VIEW’s LS-OPT output parser, the three schemes were used to generate experiments for variables that ranged from a mininum of 0.0 and a maximum of 1.0. Following images compare the distribution of the samples for all…

November 6, 2018 | by