Abstract: Monotonic classification is a special ordinal classification task that involves monotonicity constraints between features and the decision. Monotonic feature selection can reduce ...

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 ...

Bitterly cold arctic air has blanketed parts of the United States over the last week, with some areas getting snow and subzero temperatures. Along with the cold weather comes a natural event called ...

Abstract: Tree species classification plays a crucial role in forest management, biodiversity conservation, and ecological monitoring. Light detection and ranging (LiDAR) technology, capturing highly ...

John Seiler was strolling across Virginia Tech’s campus with his students Thursday morning when something stopped them in their tracks: a sweet cherry tree with an unusual jagged scar running along ...

Severe cold temperatures hitting much of the country this week could branch out − literally. As people brace for the winter weather, some social media posts in recent days have warned of the chance ...