Cover Image

A Critical Analysis of the Theoretical Framework of the Extreme Learning Machine

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Perfilievaa, Irina, Madrid, Nicolas, Ojeda-Aciego, Manuel, Artiemjew, Piotr, Niemczynowicz, Agnieszka
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hypercomplex neural network in time series forecasting of stock data
by: Kycia, Radosław, et al.
Published: (2024)

KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch
by: Niemczynowicz, Agnieszka, et al.
Published: (2024)

Fully tensorial approach to hypercomplex-valued neural networks
by: Niemczynowicz, Agnieszka, et al.
Published: (2024)

A Machine Learning Based Explainability Framework for Interpreting Swarm Intelligence
by: Gupta, Nitin, et al.
Published: (2025)

Learning Semantics-aware Search Operators for Genetic Programming
by: Wyrwiński, Piotr, et al.
Published: (2025)

Hierarchical Kernel Transformer: Multi-Scale Attention with an Information-Theoretic Approximation Analysis
by: Cirrincione, Giansalvo
Published: (2026)

A Review of Neuroscience-Inspired Machine Learning
by: Ororbia, Alexander, et al.
Published: (2024)

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis
by: Hernandez, Jose Guadalupe, et al.
Published: (2025)

General Fourier Feature Physics-Informed Extreme Learning Machine (GFF-PIELM) for High-Frequency PDEs
by: Ren, Fei, et al.
Published: (2025)

Frame Theoretical Derivation of Three Factor Learning Rule for Oja's Subspace Rule
by: Yamada, Taiki
Published: (2026)

Evolutionary Dynamic Optimization and Machine Learning
by: Boulesnane, Abdennour
Published: (2023)

A Machine Learning Approach to Automatic Fall Detection of Soldiers
by: Soares, Leandro, et al.
Published: (2025)

The Enduring Dominance of Deep Neural Networks: A Critical Analysis of the Fundamental Limitations of Quantum Machine Learning and Spiking Neural Networks
by: Ishikawa, Takehiro
Published: (2025)

Learning Numeracy: Binary Arithmetic with Neural Turing Machines
by: Castellini, Jacopo
Published: (2019)

SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning
by: Tahmid, Tokey, et al.
Published: (2025)

Evolutionary Machine Learning meets Self-Supervised Learning: a comprehensive survey
by: Vinhas, Adriano, et al.
Published: (2025)

Physics-Informed Extreme Learning Machine (PIELM) for Tunnelling-Induced Soil-Pile Interactions
by: Guo, Fu-Chen, et al.
Published: (2025)

Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction
by: Boujnah, Ines, et al.
Published: (2024)

A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions
by: Makkeh, Abdullah, et al.
Published: (2023)

DDCL-INCRT: A Self-Organising Transformer with Hierarchical Prototype Structure (Theoretical Foundations)
by: Cirrincione, Giansalvo
Published: (2026)

Multi-Class Imbalanced Learning with Support Vector Machines via Differential Evolution
by: Zhang, Zhong-Liang, et al.
Published: (2025)

Rethinking Deep Learning: Non-backpropagation and Non-optimization Machine Learning Approach Using Hebbian Neural Networks
by: Itoh, Kei
Published: (2024)

A Review of 315 Benchmark and Test Functions for Machine Learning Optimization Algorithms and Metaheuristics with Mathematical and Visual Descriptions
by: Naser, M. Z., et al.
Published: (2024)

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion
by: Xu, Fred, et al.
Published: (2025)

DDCL: Deep Dual Competitive Learning: A Differentiable End-to-End Framework for Unsupervised Prototype-Based Representation Learning
by: Cirrincione, Giansalvo
Published: (2026)

Generalization-Memorization Machines
by: Wang, Zhen, et al.
Published: (2022)

Evolutionary Extreme Learning Machine of ab-initio Energy Landscapes for Crystal Structure Prediction using Manta Ray Optimization with Levy Flight
by: Rubio-Solis, Adrian
Published: (2026)

Temporal-Difference Learning Using Distributed Error Signals
by: Guan, Jonas, et al.
Published: (2024)

Machine Learning-Based Classification of Jhana Advanced Concentrative Absorption Meditation (ACAM-J) using 7T fMRI
by: Kumar, Puneet, et al.
Published: (2026)

Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines
by: Biswas, Anmol, et al.
Published: (2024)

Polyra Swarms: A Shape-Based Approach to Machine Learning
by: Klüttermann, Simon, et al.
Published: (2025)

Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms
by: Greenberg, Ido, et al.
Published: (2025)

A Framework for Non-Linear Attention via Modern Hopfield Networks
by: Farooq, Ahmed
Published: (2025)

Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes
by: Yazdani, Danial, et al.
Published: (2024)

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
by: Cortês, Gabriel, et al.
Published: (2024)

MemFlow: A Lightweight Forward Memorizing Framework for Quick Domain Adaptive Feature Mapping
by: Lv, Jianming, et al.
Published: (2024)

A Modality-Aware Cooperative Co-Evolutionary Framework for Multimodal Graph Neural Architecture Search
by: Wang, Sixuan, et al.
Published: (2025)

Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
by: Hao, Hao, et al.
Published: (2024)

Spiking Neural Networks for Mental Workload Classification with a Multimodal Approach
by: An, Jiahui, et al.
Published: (2025)

AdaptiveMDL-GenClust: A Robust Clustering Framework Integrating Normalized Mutual Information and Evolutionary Algorithms
by: Jahani, H., et al.
Published: (2024)