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07/03/2023
Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction
People with diabetes must carefully monitor their blood glucose levels, ...
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12/19/2022
Steel Phase Kinetics Modeling using Symbolic Regression
We describe an approach for empirical modeling of steel phase kinetics b...
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09/28/2022
Identifying Differential Equations to predict Blood Glucose using Sparse Identification of Nonlinear Systems
Describing dynamic medical systems using machine learning is a challengi...
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09/20/2022
Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization
Fast Function Extraction (FFX) is a deterministic algorithm for solving ...
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09/20/2022
Comparing Shape-Constrained Regression Algorithms for Data Validation
Industrial and scientific applications handle large volumes of data that...
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09/14/2022
Prediction Intervals and Confidence Regions for Symbolic Regression Models based on Likelihood Profiles
Symbolic regression is a nonlinear regression method which is commonly p...
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09/02/2022
Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression
Gradient-based local optimization has been shown to improve results of g...
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06/13/2022
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data
Particle-based modeling of materials at atomic scale plays an important ...
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09/28/2021
Cluster Analysis of a Symbolic Regression Search Space
In this chapter we take a closer look at the distribution of symbolic re...
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09/28/2021
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication
Symbolic regression is a powerful system identification technique in ind...
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09/01/2021
Complexity Measures for Multi-objective Symbolic Regression
Multi-objective symbolic regression has the advantage that while the acc...
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08/24/2021
Data Aggregation for Reducing Training Data in Symbolic Regression
The growing volume of data makes the use of computationally intense mach...
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08/06/2021
Smooth Symbolic Regression: Transformation of Symbolic Regression into a Real-valued Optimization Problem
The typical methods for symbolic regression produce rather abrupt change...
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08/06/2021
Concept Drift Detection with Variable Interaction Networks
The current development of today's production industry towards seamless ...
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08/03/2021
Extending a Physics-Based Constitutive Model using Genetic Programming
In material science, models are derived to predict emergent material pro...
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07/29/2021
Concept for a Technical Infrastructure for Management of Predictive Models in Industrial Applications
With the increasing number of created and deployed prediction models and...
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07/22/2021
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression
We introduce in this paper a runtime-efficient tree hashing algorithm fo...
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07/20/2021
Using Shape Constraints for Improving Symbolic Regression Models
We describe and analyze algorithms for shape-constrained symbolic regres...
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07/19/2021
Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables
Friction systems are mechanical systems wherein friction is used for for...
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07/06/2021
Identification of Dynamical Systems using Symbolic Regression
We describe a method for the identification of models for dynamical syst...
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03/29/2021
Shape-constrained Symbolic Regression – Improving Extrapolation with Prior Knowledge
We investigate the addition of constraints on the function image and its...
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02/03/2019
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure
Diversity represents an important aspect of genetic programming, being d...
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09/23/2013
Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset
In this paper a data mining approach for variable selection and knowledg...
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09/23/2013
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection
Genetic programming is a powerful heuristic search technique that is use...
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06/02/2013
Declarative Modeling and Bayesian Inference of Dark Matter Halos
Probabilistic programming allows specification of probabilistic models i...
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05/16/2013
Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming
In this contribution we describe an approach to evolve composite covaria...
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12/10/2012
