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Local Optimization and Complexity Control for Symbolic Regression
Michael Kommenda
Research Center Hagenberg
HEAL
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Doctoral Thesis
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Dive into the research topics of 'Local Optimization and Complexity Control for Symbolic Regression'. Together they form a unique fingerprint.
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Keyphrases
Symbolic Regression
100%
Local Optimization
100%
Local Complexity
100%
Optimization Control
100%
Complexity Control
100%
Prediction Accuracy
85%
Genetic Programming
42%
Complexity Measures
28%
Bloating
28%
Appropriate Model
14%
Single-objective
14%
Model Complexity
14%
Semantic Information
14%
Data-centric
14%
Nonlinear Least Squares
14%
Pareto Front
14%
Single Solution
14%
Interpretable Prediction Model
14%
Machine Learning Approach
14%
Mathematical Expression
14%
Optimization Techniques
14%
Simultaneous Optimization
14%
Numerical Model
14%
Syntactic Information
14%
Model Parameter Tuning
14%
Curve Model
14%
Marquardt Algorithm
14%
Computer Science
Prediction Accuracy
100%
Local Optimization
100%
Structure Model
66%
Genetic Programming
50%
Multiobjective
33%
Complexity Measure
33%
Regression Problem
33%
Interpretability
33%
Single Objective
16%
Model Complexity
16%
Metaheuristics
16%
Machine Learning-Based Approach
16%
Least Squares Method
16%
Single Solution
16%
Prediction Model
16%
Syntactics
16%
Optimization Technique
16%
Fitting Curve
16%
Engineering
Symbolics
100%
Model Structure
57%
Model Parameter
42%
Mathematical Expression
14%
Numerical Model
14%
Learning Approach
14%
Fitting Parameter
14%
Pareto Front
14%
Optimization Technique
14%
Specifies
14%
Least Square
14%
Subproblem
14%
Single Solution
14%
Learning System
14%
Chemical Engineering
Learning System
100%