Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives ...

Severe weather events, such as heavy rainfall, are becoming increasingly commonare on the rise worldwide. Reliable assessments of these events can ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

During a follow-up of 5,023,337 person-years, 5287 and 2416 participants developed dementia and AD, respectively. A novel UKB dementia risk prediction (UKB-DRP) model comprising ten predictors ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Machine learning (ML) models are excellent alternative solutions to model complex engineering issues with high reliability and accuracy. This paper presents two extensively explored ensemble models ...

Tree-based models have proven to be an effective solution for web ranking as well as other machine learning problems in diverse domains. This paper focuses on optimizing the runtime performance of ...

python flask machine-learning python3 matplotlib machinelearning decision-tree-classifier pygal personality personality-traits decision-tree-algorithm personality-test personality-quiz ocean-model ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Detailed examples of how to use pyremap can be found in the documentation. These include: Creating mapping files for remapping to a lat-lon grid. Creating mapping files for remapping to an Antarctic ...