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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 an adversarial search algorithm used commonly for machine playing of two-player combinatorial games ( Tic-tac-toe , Chess , Connect 4 , etc.).
Pruning is a data compression technique in machine learning and search algorithms that reduces the size of decision trees by removing sections of the tree that are non-critical and redundant to classify instances. Pruning reduces the complexity of the final classifier, and hence improves predictive accuracy by the reduction of overfitting.
Wikipedia:WikiProject User scripts/Scripts/Compare link – makes the "compare selected versions" button into a link (diffs can be in new windows, tabs, etc.) Wikipedia:WikiProject User scripts/Scripts/Changes since I last edited – adds a tab that does a diff between the editor's last edit and the current version of a page
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Prune and search is a method of solving optimization problems suggested by Nimrod Megiddo in 1983. [1]The basic idea of the method is a recursive procedure in which at each step the input size is reduced ("pruned") by a constant factor 0 < p < 1.
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Synaptic pruning, a phase in the development of the nervous system, is the process of synapse elimination that occurs between early childhood and the onset of puberty in many mammals, including humans. [1] Pruning starts near the time of birth and continues into the late-20s. [2]
Kaitlyn Rochelle Dever (/ ˈ d iː v ər /; [1] born December 21, 1996) is an American actress. She became known for her roles in series such as Justified (2011–2015), Last Man Standing (2011–2021), Unbelievable (2019), and Dopesick (2021).
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