Breiman, L. (2001) Random Forests. Machine Learning, 45, 5-32. - References - Scientific Research Publishing Home References Follow SCIRP Contact us [email protected] +86 18163351462 (WhatsApp) ...

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Abstract: Heart failure is considered one of the leading cause of death around the world. The diagnosis of heart failure is a challenging task especially in under-developed and developing countries ...

Abstract: The class imbalance issue has been a persistent problem in machine learning that hinders the accurate predictive analysis of data in many real-world applications. The class imbalance problem ...

This repository contains all scripts, notebooks, figures, and data workflows used to reproduce the study: A. Al Nafees, M. Hassan, A. Paul, S. S. Shraban and H. Deb Mahin, "Public Transport Ridership ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

摘要：骨骼残骸的性别估算是法医人类学(Forensic Anthropology)的关键环节，其中颅骨与骨盆是形态学上两性异形(Sexual Dimorphism)最显著的部位。传统多元统计方法如判别函数分析(Discriminant Function Ana 摘要：骨骼残骸的性别估算是法医人类学(Forensic Anthropology)的关键环节，其中颅骨与骨盆是形态学上两性异形(Sexua ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...