Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

Supports computation on CPU and GPU. A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, ...

Machine Learning / Data mining project in python. In this project, various classification algorithms such as Decision Tree, k-nearest neighbours, random forest and support vector machine have been ...

The model is then built using nine machine learning algorithms and verified on a validation set ... Machine learning methods such as decision trees, random forests, and neural networks are a way to ...

The methods commonly used include mathematical methods [2] [3], machine learning [4] [5], and optimization algorithms [6] [7 ... the minority samples are generated according to the decision-making ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.