The Tweedie GLM is a widely used method for predicting insurance premiums. However, the structure of the logarithmic mean is restricted to a linear form in the Tweedie GLM, which can be too rigid for ...

For the study, researchers investigated the application of two machine-learning algorithms: gradient tree boosting and LSTM-based deep learning.

XGBoost (eXtreme Gradient Boosting), also not a deep neural network, is a scalable, end-to-end tree boosting system that has produced state-of-the-art results on many machine learning challenges.

Gradient tree boosting uses a small sample of features to measure similarities between potential answers and any given mention.

The study tested four machine learning algorithms to analyze the data: Gradient tree boosting, random forest, classification and regression trees, or CART, and support vector machine.

The BO-GBRT model accurately predicts compressive strength in self-compacting concrete with recycled aggregates, improving ...