Abstract: A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...

Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...

A Hong Kong barrister turned activist on trial for allegedly inciting subversion has accused Beijing of undermining the nation’s constitutional order by entrenching one-party rule, describing the move ...

This repo provides efficient implementations for emerging model architectures, with a focus on efficient sequence modeling (e.g., linear attention, state space models, and their hybrids). All ...