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 ...
BIOENGINEER

White Shark Algorithm Shows Promise for Classifying High-Dimensional Cancer Data

Researchers adapted a swarm intelligence algorithm modeled on great white shark hunting behavior to select the most informative genes from high-dimensional microarray cancer datasets, achieving top ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...
techtarget

How to use machine learning to build a predictive algorithm

Machine learning is being used to create predictive algorithms for everything from stock market forecasts and customer prospecting to predicting when manufacturing equipment will fail and which ...
quantumzeitgeist

Quandela research boosts machine learning with quantum fingerprints

Quandela research explores how photonic quantum computing utilizes quantum fingerprints to improve machine learning data ...

Self-studying Machine Learning: A Story About How Getting the Order Wrong Leads to Failure

I often hear people say, "I want to study machine learning, but I don't know where to start." Some open a book on mathematical formulas only to close it immediately, while others burn out just trying ...