CLEAR: Cue Learning using Evolution for Accurate Recognition Applied to Sustainability Data Extraction
Fuente:
arXiv
Saved in:
| Main Authors: | Bentley, Peter J., Lim, Soo Ling, Ishikawa, Fuyuki |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SCAPE: Searching Conceptual Architecture Prompts using Evolution
by: Lim, Soo Ling, et al.
Published: (2024)
by: Lim, Soo Ling, et al.
Published: (2024)
OneMax is not the Easiest Function for Fitness Improvements
by: Kaufmann, Marc, et al.
Published: (2022)
by: Kaufmann, Marc, et al.
Published: (2022)
How Population Diversity Influences the Efficiency of Crossover
by: Cerf, Sacha, et al.
Published: (2024)
by: Cerf, Sacha, et al.
Published: (2024)
First Steps Towards a Runtime Analysis When Starting With a Good Solution
by: Antipov, Denis, et al.
Published: (2020)
by: Antipov, Denis, et al.
Published: (2020)
Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso
by: Vivek, Yelleti, et al.
Published: (2024)
by: Vivek, Yelleti, et al.
Published: (2024)
Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
Survey of Genetic and Differential Evolutionary Algorithm Approaches to Search Documents Based On Semantic Similarity
by: Muniyappa, Chandrashekar, et al.
Published: (2025)
by: Muniyappa, Chandrashekar, et al.
Published: (2025)
Hardest Monotone Functions for Evolutionary Algorithms
by: Kaufmann, Marc, et al.
Published: (2023)
by: Kaufmann, Marc, et al.
Published: (2023)
Optimizing Genetic Algorithms Using the Binomial Distribution
by: Cicirello, Vincent A.
Published: (2024)
by: Cicirello, Vincent A.
Published: (2024)
Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey
by: Vivek, Yelleti, et al.
Published: (2024)
by: Vivek, Yelleti, et al.
Published: (2024)
Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations
by: Taubert, Oskar, et al.
Published: (2023)
by: Taubert, Oskar, et al.
Published: (2023)
Parameter Tuning of the Firefly Algorithm by Standard Monte Carlo and Quasi-Monte Carlo Methods
by: Joy, Geethu, et al.
Published: (2024)
by: Joy, Geethu, et al.
Published: (2024)
Domain-Informed Genetic Superposition Programming: A Case Study on SFRC Beams
by: Khorshidi, Mohammad Sadegh, et al.
Published: (2025)
by: Khorshidi, Mohammad Sadegh, et al.
Published: (2025)
Open Source Evolutionary Computation with Chips-n-Salsa
by: Cicirello, Vincent A.
Published: (2024)
by: Cicirello, Vincent A.
Published: (2024)
NeurOptimisation: The Spiking Way to Evolve
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)
Efficient Vectorized Backpropagation Algorithms for Training Feedforward Networks Composed of Quadratic Neurons
by: Noel, Mathew Mithra, et al.
Published: (2023)
by: Noel, Mathew Mithra, et al.
Published: (2023)
Towards a Rigorous Understanding of the Population Dynamics of the NSGA-III: Tight Runtime Bounds
by: Opris, Andre
Published: (2025)
by: Opris, Andre
Published: (2025)
L-System Genetic Encoding for Scalable Neural Network Evolution: A Comparison with Direct Matrix Encoding
by: Stuy, Alexander, et al.
Published: (2026)
by: Stuy, Alexander, et al.
Published: (2026)
Implementing Online Reinforcement Learning with Clustering Neural Networks
by: Smith, James E.
Published: (2024)
by: Smith, James E.
Published: (2024)
A First Runtime Analysis of the PAES-25: An Enhanced Variant of the Pareto Archived Evolution Strategy
by: Opris, Andre
Published: (2025)
by: Opris, Andre
Published: (2025)
Quantum-Inspired Genetic Optimization for Patient Scheduling in Radiation Oncology
by: SaiToh, Akira, et al.
Published: (2025)
by: SaiToh, Akira, et al.
Published: (2025)
Evolutionary Computation as Natural Generative AI
by: Shi, Yaxin, et al.
Published: (2025)
by: Shi, Yaxin, et al.
Published: (2025)
Runtime Analyses of NSGA-III on Many-Objective Problems: Provable Exponential Speedup via Stochastic Population Update
by: Opris, Andre
Published: (2025)
by: Opris, Andre
Published: (2025)
Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm
by: Doerr, Benjamin, et al.
Published: (2025)
by: Doerr, Benjamin, et al.
Published: (2025)
Runtime Analyses of NSGA-III on Many-Objective Problems
by: Opris, Andre, et al.
Published: (2024)
by: Opris, Andre, et al.
Published: (2024)
Achieving Tight $O(4^k)$ Runtime Bounds on Jump$_k$ by Proving that Genetic Algorithms Evolve Near-Maximal Population Diversity
by: Opris, Andre, et al.
Published: (2024)
by: Opris, Andre, et al.
Published: (2024)
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization
by: Cenikj, Gjorgjina, et al.
Published: (2024)
by: Cenikj, Gjorgjina, et al.
Published: (2024)
EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
Pointer Networks Trained Better via Evolutionary Algorithms
by: Zhong, Muyao, et al.
Published: (2023)
by: Zhong, Muyao, et al.
Published: (2023)
Reconstructing shared dynamics with a deep neural network
by: Benkő, Zsigmond, et al.
Published: (2021)
by: Benkő, Zsigmond, et al.
Published: (2021)
Fractional Artificial Neural Networks for Growth Models
by: Najera-Tinoco, Juan Carlos, et al.
Published: (2025)
by: Najera-Tinoco, Juan Carlos, et al.
Published: (2025)
Many Objective Problems Where Crossover is Provably Essential
by: Opris, Andre
Published: (2024)
by: Opris, Andre
Published: (2024)
Evo* 2025 -- Late-Breaking Abstracts Volume
by: Mora, A. M., et al.
Published: (2025)
by: Mora, A. M., et al.
Published: (2025)
TNStream: Applying Tightest Neighbors to Micro-Clusters to Define Multi-Density Clusters in Streaming Data
by: Zeng, Qifen, et al.
Published: (2025)
by: Zeng, Qifen, et al.
Published: (2025)
Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
by: Urbańczyk, Aleksandra, et al.
Published: (2025)
by: Urbańczyk, Aleksandra, et al.
Published: (2025)
Rapid training of Hamiltonian graph networks using random features
by: Rahma, Atamert, et al.
Published: (2025)
by: Rahma, Atamert, et al.
Published: (2025)
Game-Theoretic Gradient Control for Robust Neural Network Training
by: Zaitseva, Maria, et al.
Published: (2025)
by: Zaitseva, Maria, et al.
Published: (2025)
The Geometry of Cortical Computation: Manifold Disentanglement and Predictive Dynamics in VCNet
by: Hill, Brennen A., et al.
Published: (2025)
by: Hill, Brennen A., et al.
Published: (2025)
AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams
by: Arostegi, Maria, et al.
Published: (2025)
by: Arostegi, Maria, et al.
Published: (2025)
Unpacking Hateful Memes: Presupposed Context and False Claims
by: Cai, Weibin, et al.
Published: (2025)
by: Cai, Weibin, et al.
Published: (2025)
Similar Items
-
SCAPE: Searching Conceptual Architecture Prompts using Evolution
by: Lim, Soo Ling, et al.
Published: (2024) -
OneMax is not the Easiest Function for Fitness Improvements
by: Kaufmann, Marc, et al.
Published: (2022) -
How Population Diversity Influences the Efficiency of Crossover
by: Cerf, Sacha, et al.
Published: (2024) -
First Steps Towards a Runtime Analysis When Starting With a Good Solution
by: Antipov, Denis, et al.
Published: (2020) -
Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso
by: Vivek, Yelleti, et al.
Published: (2024)