(LARS)), decisions tree algorithms (e.g., classification and regression tree (CART), iterative dichotomiser 3 (ID3), Chi-squared automatic interaction detection (CHAD)), decision stump, conditional decision trees), Bayesian algorithms (e.g., naïve Bayes, Gaussian naïve Bayes, multinomial ...
Beginning at a predetermined level, the TPS tree is traversed to see if any pair of nodes can form a distance range that is fully contained in a bucket of the histogram. This is the key operation in this algorithm and it is named node resolving. If a pair of nodes do not resolve, ...
The MCTS-based allocation algorithm builds a decision tree to explore the possible solutions by expanding and pruning. Due to the expansion of the tree, the search space becomes tremendous gradually and the calculation scale is unacceptable. If this type of method is applied in IoV directly, the...
The simulation model is typically defined as a mathematical process or an algorithm that depends on various input parameters, which, when processed with mathematical expressions, will result in one or more than one output, encapsulating the behavior and performance of a system in real-world ...