BIOENGINEER

Puma-Inspired Algorithm Sharpens Feature Selection for Machine Learning

Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent ...
Nature

Feature Selection Techniques in Machine Learning Systems articles from across Nature Portfolio

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

Day 6: Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Provable In-Context Learning with In-Context Algorithm Selection Neural sequence models based on the transformer architecture ...
BIOENGINEER

AI Learns to Pick the Best Clustering Algorithm Before Any Data Is Labeled

Researchers have developed a meta-learning framework that recommends the best clustering algorithm for generating ...
ISA

Optimization algorithm selection for process applications

Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...