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 ...
AZoM

Machine Learning Improves LIBS Classification of Real Plastic Waste Under Variable Laser Conditions

Researchers used machine learning-assisted laser-induced breakdown spectroscopy (LIBS) to classify PP, PET, HDPE, and LDPE ...
The Motley Fool

What Does Classification Mean in Machine Learning?

AI classification sorts data, aiding in tasks like spam detection. Two AI learner types: "lazy" for large, evolving data, "eager" for immediate sorting. In investing, classification helps identify ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Visual Studio Magazine

Multi-Class Classification Using LightGBM

Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ...
The Manila Times

WiMi Studies Hybrid Quantum Neural Network Architecture with Classical-Quantum Synergistic Innovation to Enhance Efficiency and Accuracy in Image Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, announces that it is researching the application of quantum ...

4 Books That Bridge the Gap Between Machine Learning Theory and Implementation

Introduction A few years ago, I took over a demand forecasting model from a colleague who had left the company. The notebook ...