A Decision Tree is a popular supervised machine learning algorithm used for both classification and regression tasks. It splits the data into subsets based on the value of input features, recursively.

Abstract: We proposed a novel Kinematic Batch Informed Trees algorithm (K-BIT*) to solve problems of the low efficiency, poor geometric smoothness and local optimum when conducting path planning for ...

Piece-wise non-linear regression is a long-standing problem in the machine learning domain that has long plagued machine learning researchers. It is extremely difficult for users to determine the ...