Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...

Linwei Zhai ᵃ, Jian Qin ᵇ, Lean Yu ᶜ, Hybridizing Support Vector Machines into Genetic Algorithm for Key Factor Exploration in Core Competence Evaluation of Aviation Manufacturing Enterprises, Filomat ...

Amit Saha, K. N. Singh, Mrinmoy Ray, Santosha Rathod, Sharani Choudhury, Modelling and forecasting cotton production using tuned-support vector regression, Current ...

He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes.

EHR data may be particularly suitable for machine learning (ML) techniques, as such algorithms can process high-dimensional data and capture nonlinear relationships between variables. By comparison, ...

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams ...