research
∙
07/22/2023
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation
Symbolic Regression is a powerful data-driven technique that searches fo...
share
research
∙
05/16/2023
Probabilistic Distance-Based Outlier Detection
The scores of distance-based outlier detection methods are difficult to ...
research
∙
03/03/2023
Vectorial Genetic Programming – Optimizing Segments for Feature Extraction
Vectorial Genetic Programming (Vec-GP) extends GP by allowing vectors as...
research
∙
11/08/2022
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language
OutlierDetection.jl is an open-source ecosystem for outlier detection in...
research
∙
08/07/2022
A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement
Bayesian global optimization (BGO) is an efficient surrogate-assisted te...
research
∙
06/13/2022
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data
Particle-based modeling of materials at atomic scale plays an important ...
research
∙
05/11/2022
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization
This work provides the exact expression of the probability distribution ...
research
∙
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...
research
∙
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...
research
∙
09/01/2021
Complexity Measures for Multi-objective Symbolic Regression
Multi-objective symbolic regression has the advantage that while the acc...
research
∙
08/24/2021
On the Effectiveness of Genetic Operations in Symbolic Regression
This paper describes a methodology for analyzing the evolutionary dynami...
research
∙
08/06/2021
Concept Drift Detection with Variable Interaction Networks
The current development of today's production industry towards seamless ...
research
∙
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...
research
∙
02/25/2019
On constraint programming for a new flexible project scheduling problem with resource constraints
Real-world project scheduling often requires flexibility in terms of the...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
12/10/2012
