Endless forms (of regression models): Darwinian approaches to free-form numerical modelling
Speaker: Dr. James McDermott, Lochlann Quinn School of Business and Complex and Adaptive Systems Lab.
Date: Thursday, February 26th
Time: 4.00PM
Location: Science East, Room E0.01
Abstract:
Typical regression methods are well-understood, and fitting is fast and reliable. But they require the form of the relationship between variables to be specified in advance. In the field of genetic programming, the symbolic regression task is to both find a model expressing the right relationship, and simultaneously to fit it. It does this using evolutionary search in a large space of arithmetic expressions. In this talk I will introduce the ideas of genetic programming and symbolic regression; describe recent research into hybridising symbolic regression with more typical regression methods; and talk about some applications.
Series: Statistics
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