Pruning is a data compression technique in machine learning and search algorithms that reduces the size of decision trees by removing sections of the...

several trees can be constructed parallelly to reduce the expected number of tests till classification. Decision tree pruning Binary decision diagram...

refer to: Synaptic pruning, the reformation of neural structure by pruning "excess" neurons or neural clusters Decision tree pruning, a method of simplification...

typically simple decision trees. When a decision tree is the weak learner, the resulting algorithm is called gradient-boosted trees; it usually outperforms...

An incremental decision tree algorithm is an online machine learning algorithm that outputs a decision tree. Many decision tree methods, such as C4.5,...

game tree, since in many games a move need not be analyzed if there is another move that is better for the same player (for example alpha-beta pruning can...

Alpha–beta pruning is a search algorithm that seeks to decrease the number of nodes that are evaluated by the minimax algorithm in its search tree. It is...

In computer science, Monte Carlo tree search (MCTS) is a heuristic search algorithm for some kinds of decision processes, most notably those employed...

tree to improve the decision making process. Pruning and Grafting are complementary methods to improve the decision tree in supporting the decision....

Intelligence: Sequential Decisions Based on Algorithmic Probability (2005) by Tom Everitt and Marcus Hutter. Minimax Alpha–beta pruning Negamax Expected value...