Our particular implementation of the Gradient Boosting Tree focuses more on algorithmic simplicity. While following the algorithm described in Elements of Statistical Learning, we have slightly tuned ...

What is XGBoost? Gradient boosting is a machine learning algorithm that is used for classification and predictions. XGBoost is just an extreme type of gradient boosting.

This work models and analyzes city traffic patterns using adaptive machine learning techniques and statistical modeling. We pre-process historical traffic data, weather, network topology, and ...

With the increasing demand for catering services in universities, accurately predicting the flow of people in canteens has become the key to improving service quality and management efficiency. This ...