Therefore, equipping an intelligent decision-making algorithm is undoubtedly necessary for ensuring ... Smart nodes (smart sequence and smart fallback) are introduced to the behavior trees framework, ...

This method builds upon the ORB-SLAM2 algorithm. The system detects illumination ... and average saturation, are chosen as the classification criteria for the decision tree. Subsequently, the ...

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 ...

STreeD is a framework for optimal binary decision trees with separable ... STreeD assumes classification labels are in the range 0 ... n_labels - 1. Not meeting this assumption may influence the ...