Tag: feature selection

Researchers in Türkiye used small language models and retrieval-augmented web search to generate new features for tabular data classification, reaching ...

An explainable machine learning study of Jeju Island shows that flood occurrence is governed by region-specific interactions among rainfall, groundwater, ...

Researchers in India have developed an optimized machine learning framework combining preprocessing, feature selection and hyperparameter tuning that predicts agronomic ...

A new framework combines a platform-free federated learning blockchain consensus mechanism with optimized neural networks to secure electronic health record ...

A hybrid Transformer-BiLSTM deep learning framework with a dual nature-inspired feature selection method reports up to 99 percent accuracy in ...

Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based learning in a semi-supervised framework that improves ...

A retrospective study found that combining a thymoma with a three-millimeter rim of surrounding tissue on CT scans improved machine ...

Researchers at the University of Calabria have developed RLAX, a reinforcement learning framework that identifies compact, interpretable feature subspaces explaining ...

Researchers have enhanced a rime-ice-inspired optimization algorithm with four adaptive strategies, achieving superior benchmark results and 95.52 percent accuracy in ...

A hybrid deep learning framework combining fuzzy preprocessing, bio-inspired feature selection and a novel Hopfield attention network predicts organic perovskite ...