Machine Learning Algorithm

Machine learning algorithms are computational tools designed to learn patterns from data and make predictions or decisions without explicit programming. Current research emphasizes improving algorithm efficiency and interpretability, exploring various model architectures such as decision trees, neural networks (including LSTMs and GRUs), random forests, and support vector machines, as well as novel approaches based on information theory and Bayesian optimization. These advancements are impacting diverse fields, from healthcare (disease prediction, medical image analysis) and finance (option pricing) to engineering (combustion control, structural anomaly detection) and environmental science (contaminant monitoring), improving accuracy, efficiency, and decision-making in numerous applications.

Papers

February 12, 2024

Convolutional Neural Networks for signal detection in real LIGO data
Ondřej Zelenka, Bernd Brügmann, Frank Ohme
Machine Learning Convolutional Neural Network Machine Learning Algorithm Gravitational Wave Signal Detection Learning Search

February 6, 2024

February 2, 2024

Comparative Evaluation of Weather Forecasting using Machine Learning Models
Md Saydur Rahman, Farhana Akter Tumpa, Md Shazid Islam, Abul Al Arabi, Md Sanzid Bin Hossain, Md Saad Ul Haque
Machine Learning Machine Learning Model Machine Learning Algorithm Data Mining Weather Forecasting Comparative Evaluation Climate Pattern

January 30, 2024

Intrinsic Data Constraints and Upper Bounds in Binary Classification Performance
Fei Jing, Zi-Ke Zhang, Qingpeng Zhang
Machine Learning Algorithm Binary Classification Binary Classifier Upper Bound

January 22, 2024

Parametric Matrix Models
Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen, Daniel D. Lee, Dean Lee
Machine Learning Algorithm Parametric Solution

January 18, 2024

January 17, 2024

Early Prediction of Geomagnetic Storms by Machine Learning Algorithms
Iris Yan
Machine Learning Algorithm Early Prediction Geomagnetic Storm

January 8, 2024

Monitoring water contaminants in coastal areas through ML algorithms leveraging atmospherically corrected Sentinel-2 data
Francesca Razzano, Francesco Mauro, Pietro Di Stasio, Gabriele Meoni, Marco Esposito, Gilda Schirinzi, Silvia Liberata Ullo
Machine Learning Algorithm Sentinel 2 Catboost Model Coastal Area Turbidity Sensor

January 3, 2024

Predicting challenge moments from students' discourse: A comparison of GPT-4 to two traditional natural language processing approaches
Wannapon Suraworachet, Jennifer Seon, Mutlu Cukurova
Natural Language Processing GPT 4 Machine Learning Algorithm Collaborative Learning Student Friendly Knowledge Box Dimension Discourse Level Efficient Collaboration Prediction Challenge

January 2, 2024

Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms
Flavio P. Loss, Pedro H. da Cunha, Matheus B. Rocha, Madson Poltronieri Zanoni, Leandro M. de Lima, Isadora Tavares Nascimento, Isabella Rezende, Tania R. P. Canuto, Luciana de Paula Vieira, Renan Rossoni, Maria C. S. Santos, Patricia Lyra Frasson, Wanderson Romão, Paulo R. Filgueiras, Renato A. Krohling
Machine Learning Algorithm Skin Lesion Discriminant Analysis Skin Cancer Vivo Imaging

December 27, 2023

Using Enriched Category Theory to Construct the Nearest Neighbour Classification Algorithm
Matthew Pugh, Jo Grundy, Corina Cirstea, Nick Harris
Machine Learning Algorithm Nearest Neighbor Category Theory Nearest Neighbour

December 24, 2023

Nowcasting Madagascar's real GDP using machine learning algorithms
Franck Ramaharo, Gerzhino Rasolofomanana
Machine Learning Model Machine Learning Algorithm Regression Model Data Driven Nowcasting Econometric Model Vector Regression

December 22, 2023

December 20, 2023

Comparing Machine Learning Algorithms by Union-Free Generic Depth
Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen
Machine Learning Algorithm Large Depth Simplicial Complex Infinite Depth Depth Function

December 19, 2023

Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure
Xinying Zou, Samir M. Perlaza, Iñaki Esnaola, Eitan Altman
Machine Learning Algorithm Gibbs Algorithm Gibbs Distribution Data Generating

December 4, 2023

Analysis and mining of low-carbon and energy-saving tourism data characteristics based on machine learning algorithm
Lukasz Wierzbinski
General Analysis Machine Learning Algorithm Mining Complex Travel Mode

November 20, 2023

Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
Machine Learning Causal Inference Machine Learning Algorithm Performative Power Monitoring Strategy

Machine Learning Algorithm

Papers

Convolutional Neural Networks for signal detection in real LIGO data

A Survey of Offline and Online Learning-Based Algorithms for Multirotor UAVs

Employee Turnover Analysis Using Machine Learning Algorithms

Comparative Evaluation of Weather Forecasting using Machine Learning Models

Intrinsic Data Constraints and Upper Bounds in Binary Classification Performance

Parametric Matrix Models

Intelligent Optimization and Machine Learning Algorithms for Structural Anomaly Detection using Seismic Signals

Applications of Machine Learning to Optimizing Polyolefin Manufacturing

Early Prediction of Geomagnetic Storms by Machine Learning Algorithms

Monitoring water contaminants in coastal areas through ML algorithms leveraging atmospherically corrected Sentinel-2 data

Predicting challenge moments from students' discourse: A comparison of GPT-4 to two traditional natural language processing approaches

Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms

Using Enriched Category Theory to Construct the Nearest Neighbour Classification Algorithm

Nowcasting Madagascar's real GDP using machine learning algorithms

An effective and efficient green federated learning method for one-layer neural networks

DMC4ML: Data Movement Complexity for Machine Learning

Comparing Machine Learning Algorithms by Union-Free Generic Depth

Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure

Analysis and mining of low-carbon and energy-saving tourism data characteristics based on machine learning algorithm

Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens