子树
...代价复杂度剪枝就是这种思路。下面我们来介绍这种算法的基本原理。 2. 成本复杂测量度的定义 我们不妨用Tmax来代表一颗充分生长的决策树,而T代表它的子树(subtree),用表示该子树中叶子节点个数,即为树T的复杂度。α≥0表示复杂参数,R(T)是T的误判成本。
树状子目录
... 树状细胞 dendritic cell 树状子目录 subtree 拓扑结构 topological structure ...
subtree:
sub- + tree
In computer science, a tree is a widely used abstract data type (ADT) or data structure implementing this ADT that simulates a hierarchical tree structure, with a root value and subtrees of children, represented as a set of linked nodes.A tree data structure can be defined recursively (locally) as a collection of nodes (starting at a root node), where each node is a data structure consisting of a value, together with a list of references to nodes (the "children"), with the constraints that no reference is duplicated, and none points to the root.Alternatively, a tree can be defined abstractly as a whole (globally) as an ordered tree, with a value assigned to each node. Both these perspectives are useful: while a tree can be analyzed mathematically as a whole, when actually represented as a data structure it is usually represented and worked with separately by node (rather than as a list of nodes and an adjacency list of edges between nodes, as one may represent a digraph, for instance). For example, looking at a tree as a whole, one can talk about "the parent node" of a given node, but in general as a data structure a given node only contains the list of its children, but does not contain a reference to its parent (if any).
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