Starting with all 200 training items, the decision tree algorithm scans the data and finds the one value of the one predictor variable that splits the data into two sets in such a way that the most ...
Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...
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RRT* algorithm enhances path planning and obstacle avoidance in deep-sea mining vehicles
This study presents an enhanced RRT* algorithm for deep-sea mining vehicles, improving path planning and obstacle avoidance ...
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