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Random tree generator [ edit ] This application generates k random phylogenetic trees with n leaves, i.e. species or taxa, and an average branch length l using the random tree generation procedure described by Kuhner and Felsenstein (1994), [ 8 ] where the variables k , n and l are defined by the user.
Random recursive tree, increasingly labelled trees, which can be generated using a simple stochastic growth rule. Treap or randomized binary search tree, a data structure that uses random choices to simulate a random binary tree for non-random update sequences; Rapidly exploring random tree, a fractal space-filling pattern used as a data ...
In a random recursive tree, all such trees are equally likely. Alternatively, a random recursive tree can be generated by starting from a single vertex, the root of the tree, labeled 1 {\displaystyle 1} , and then for each successive label from 2 {\displaystyle 2} to n {\displaystyle n} choosing a random vertex with a smaller label to be its ...
Constructing skill trees (CST) is a hierarchical reinforcement learning algorithm which can build skill trees from a set of sample solution trajectories obtained from demonstration. CST uses an incremental MAP ( maximum a posteriori ) change point detection algorithm to segment each demonstration trajectory into skills and integrate the results ...
A rapidly exploring random tree (RRT) is an algorithm designed to efficiently search nonconvex, high-dimensional spaces by randomly building a space-filling tree.The tree is constructed incrementally from samples drawn randomly from the search space and is inherently biased to grow towards large unsearched areas of the problem.
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A random binary tree is a random tree drawn from a certain probability distribution on binary trees. In many cases, these probability distributions are defined using a given set of keys, and describe the probabilities of binary search trees having those keys.
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