IEEE

Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model

Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
Digital Trends

Instagram supercharges creation and feed control with new Edits app features and “Your Algorithm”

Instagram has launched a major update for its Edits app. The app’s latest version adds pre-built templates, storyboards, advanced text customization options, and the ability to pull public Reels ...
GitHub

[Feature request] Selection from different algorithms

Is there a way you could add the selection of different algorithms? This old obsidian-recall plugin allowed this. Another person in this topic #51 asked if a newer algorithm is possible to implement, ...
Scientific Research Publishing

Li, W. and Becker, D.M. (2021) Day-Ahead Electricity Price Prediction Applying Hybrid Models of LSTM-Based Deep Learning Methods and Feature Selection Algorithms under ...

ABSTRACT: Accurate forecasting of the system marginal price (SMP) is crucial to improve demand-side management and optimize power generation scheduling. However, predicting the SMP is challenging due ...
C&EN

SOH Estimation Based on Multisource Feature Extraction and SSA-LSTM Algorithm

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...
Frontiers

Deep learning-based feature selection for detection of autism spectrum disorder

Introduction: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by challenges in communication, social interactions, and repetitive behaviors. The heterogeneity of ...
Frontiers

Characterization and feature selection of volatile metabolites in Yangxian pigmented rice varieties through GC-MS and machine learning algorithms

Introduction: Pigmented rice is fascinated by consumers for its abundant phytochemicals and unique aroma. Methods: In this study, GC–MS-based metabolomics of Yangxian colored rice varieties were ...
IEEE

Double Filter and Double Wrapper Feature Selection Algorithm for High-Dimensional Data Analysis

Abstract: With the advent of the big data era, we often deal with datasets containing a large number of redundant features, and in this context, dimensionality reduction of data becomes crucial. To ...