Non-Linear Methods for Regression and Classification

Price: Conferee: $225; Student: $25; Non-Conferee: $325
Date: Monday 10/22/2018 - 1pm - 4pm

Donal O’Sullivan - Eigenvector

While linear methods, such as PLS regression, work in a very wide range of problems of chemical interest, there are times when the relationships between variables are complex and require non-linear modeling methods. Many non-linear methods have been developed, however, we will focus on a few that we have found quite useful. The course begins with a discussion of linearizing transforms. Augmenting with non-linear transforms, e.g. polynomials, is discussed next. Locally Weighted Regression (LWR), Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) are then considered, with SVMS for both regression and classification considered. The course includes hands-on computer time for participants to work example problems using PLS_Toolbox and MATLAB on their own computers.