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Symbolic Regression

producing a mathematical expression (symbolic expression) that fits a given tabular data.

Papers

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Showing 351–400 of 418 papers

TitleStatusHype
Shape-constrained Symbolic Regression -- Improving Extrapolation with Prior Knowledge—0
Symbolic regression outperforms other models for small data setsCode0
Zoetrope Genetic Programming for Regression—0
Data-driven formulation of natural laws by recursive-LASSO-based symbolic regression—0
Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics—0
A Bayesian-Symbolic Approach to Learning and Reasoning for Intuitive Physics—0
Learning Symbolic Expressions via Gumbel-Max Equation Learner Networks—0
Logic Guided Genetic Algorithms—0
A Seq2Seq approach to Symbolic RegressionCode0
Symbolic Regression using Mixed-Integer Nonlinear Optimization—0
Learning Functions to Study the Benefit of Multitask Learning—0
Symbolic Pregression: Discovering Physical Laws from Distorted Video—0
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations—0
MATE: A Model-based Algorithm Tuning Engine—0
Swarm Programming Using Moth-Flame Optimization and Whale Optimization Algorithms—0
Symbolic Regression Driven by Training Data and Prior Knowledge—0
Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data—0
Explainable Machine Learning Control -- robust control and stability analysis—0
Analytic Continued Fractions for Regression: A Memetic Algorithm Approach—0
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific DiscoveryCode0
Deep symbolic regression—0
Learning Symbolic Physics with Graph Networks—0
A Search for the Underlying Equation Governing Similar Systems—0
A New Deterministic Technique for Symbolic Regression—0
Automatic Discovery of Families of Network Generative Processes—0
Symbolic regression by uniform random global searchCode0
Exploration and Exploitation in Symbolic Regression using Quality-Diversity and Evolutionary Strategies Algorithms—0
Epsilon-Lexicase Selection for RegressionCode0
A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming—0
Constructing Parsimonious Analytic Models for Dynamic Systems via Symbolic RegressionCode0
Symbolic Regression Methods for Reinforcement Learning—0
Data-driven PDE discovery with evolutionary approach—0
Interaction-Transformation Evolutionary Algorithm for Symbolic RegressionCode0
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure—0
Neural-Guided Symbolic Regression with Asymptotic ConstraintsCode0
Library Learning for Neurally-Guided Bayesian Program Induction—0
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction—0
Symbolic regression based genetic approximations of the Colebrook equation for flow friction—0
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming—0
GP-RVM: Genetic Programing-based Symbolic Regression Using Relevance Vector Machine—0
Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach—0
Where are we now? A large benchmark study of recent symbolic regression methodsCode0
Solving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic ProgrammingCode0
Towards Advanced Phenotypic Mutations in Cartesian Genetic Programming—0
Glyph: Symbolic Regression ToolsCode0
On the Generalizability of Linear and Non-Linear Region of Interest-Based Multivariate Regression Models for fMRI Data—0
A Greedy Search Tree Heuristic for Symbolic Regression—0
Interpretable Policies for Reinforcement Learning by Genetic Programming—0
Globally Optimal Symbolic Regression—0
A probabilistic and multi-objective analysis of lexicase selection and epsilon-lexicase selectionCode0
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