Cover Image

Minimum variance threshold for epsilon-lexicase selection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Aldeia, Guilherme Seidyo Imai, de Franca, Fabricio Olivetti, La Cava, William G.
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing
by: Aldeia, Guilherme Seidyo Imai, et al.
Published: (2024)

Current Challenges of Symbolic Regression: Optimization, Selection, Model Simplification, and Benchmarking
by: Aldeia, Guilherme Seidyo Imai
Published: (2025)

Towards symbolic regression for interpretable clinical decision scores
by: Aldeia, Guilherme Seidyo Imai, et al.
Published: (2025)

Call for Action: towards the next generation of symbolic regression benchmark
by: Aldeia, Guilherme S. Imai, et al.
Published: (2025)

Origami: (un)folding the abstraction of recursion schemes for program synthesis
by: Fernandes, Matheus Campos, et al.
Published: (2024)

An electronic-game framework for evaluating coevolutionary algorithms
by: de Araújo, Karine da Silva Miras, et al.
Published: (2016)

Guiding Multi-Objective Genetic Programming with Description Length Improves Symbolic Regression Solutions
by: Kronberger, Gabriel, et al.
Published: (2026)

Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set
by: Aldeia, Guilherme Seidyo Imai, et al.
Published: (2024)

TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming
by: Kalkreuth, Roman, et al.
Published: (2025)

The Inefficiency of Genetic Programming for Symbolic Regression
by: Kronberger, Gabriel, et al.
Published: (2024)

RDEx-CSOP: Feasibility-Aware Reconstructed Differential Evolution with Adaptive epsilon-Constraint Ranking
by: Tao, Sichen, et al.
Published: (2026)

Toward Preference-aligned Large Language Models via Residual-based Model Steering
by: La Cava, Lucio, et al.
Published: (2025)

Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models
by: Aldeia, Guilherme Seidyo Imai, et al.
Published: (2025)

Evolutionary feature selection for spiking neural network pattern classifiers
by: Valko, Michal, et al.
Published: (2026)

Deep Survival Analysis from Adult and Pediatric Electrocardiograms: A Multi-center Benchmark Study
by: Lukyanenko, Platon, et al.
Published: (2024)

Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method
by: Orioma, Charles, et al.
Published: (2025)

Frog-Snake prey-predation Relationship Optimization (FSRO) : A novel nature-inspired metaheuristic algorithm for feature selection
by: Saitou, Hayata, et al.
Published: (2024)

CMA-ES with Radial Basis Function Surrogate for Black-Box Optimization
by: Khouzani, Farshid Farhadi, et al.
Published: (2025)

Pipelining Kruskal's: A Neuromorphic Approach for Minimum Spanning Tree
by: Chong, Yee Hin, et al.
Published: (2025)

Improving a Parallel C++ Intel AVX-512 SIMD Linear Genetic Programming Interpreter
by: Langdon, William B.
Published: (2025)

From Pixels to Titles: Video Game Identification by Screenshots using Convolutional Neural Networks
by: Breve, Fabricio
Published: (2023)

Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
by: Yao, Yunpeng, et al.
Published: (2024)

Prescriptive tool for zero-emissions building fenestration design using hybrid metaheuristic algorithms
by: Caro, Rosana, et al.
Published: (2025)

Analysis of Generalized Hebbian Learning Algorithm for Neuromorphic Hardware Using Spinnaker
by: Sharma, Shivani, et al.
Published: (2024)

Feature selection based on cluster assumption in PU learning
by: Uchikoshi, Motonobu, et al.
Published: (2025)

Wave Function Collapse Set Covering and the Hill Climbing Algorithm: A New, Fast Heuristic and Metaheuristic Pairing for the Minimum Set Cover Problem
by: Oprea, David, et al.
Published: (2025)

TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks
by: Malettira, Prajna G., et al.
Published: (2024)

Genetic Drift Regularization: on preventing Actor Injection from breaking Evolution Strategies
by: Templier, Paul, et al.
Published: (2024)

Analyzing the Expected Hitting Time of Evolutionary Computation-based Neural Architecture Search Algorithms
by: Lv, Zeqiong, et al.
Published: (2022)

Evolving Collective Behavior in Self-Organizing Particle Systems
by: Parkar, Devendra, et al.
Published: (2024)

A Spiking Neural Network Implementation of Gaussian Belief Propagation
by: Adamiat, Sepideh, et al.
Published: (2025)

Emergent kin selection of altruistic feeding via non-episodic neuroevolution
by: Taylor-Davies, Max, et al.
Published: (2024)

Emergence of robust looming selectivity via coordinated inhibitory neural computations
by: Fu, Qinbing, et al.
Published: (2025)

A theoretical framework for reservoir computing on networks of organic electrochemical transistors
by: Landry, Nicholas W., et al.
Published: (2024)

Efficient Evaluation Methods for Neural Architecture Search: A Survey
by: Song, Xiaotian, et al.
Published: (2023)

A Theory of Appropriateness That Accounts for Norms of Rationality
by: Leibo, Joel Z., et al.
Published: (2026)

Universal Approximation Theorem for Vector- and Hypercomplex-Valued Neural Networks
by: Valle, Marcos Eduardo, et al.
Published: (2024)

Sampling in CMA-ES: Low Numbers of Low Discrepancy Points
by: de Nobel, Jacob, et al.
Published: (2024)

Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem
by: Ahouei, Saba Sadeghi, et al.
Published: (2024)

MOELIGA: a multi-objective evolutionary approach for feature selection with local improvement
by: Vignolo, Leandro, et al.
Published: (2026)