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The Yoshizawa–Randlett system is a diagramming system used to describe the folds of origami models. Many origami books begin with a description of basic origami techniques which are used to construct the models. There are also a number of standard bases which are commonly used as a first step in construction. Models are typically classified ...
Constructing skill trees. 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 ...
The Nested Set model is appropriate where the tree element and one or two attributes are the only data, but is a poor choice when more complex relational data exists for the elements in the tree. Given an arbitrary starting depth for a category of 'Vehicles' and a child of 'Cars' with a child of 'Mercedes', a foreign key table relationship must ...
The three levels referred to in the model's name are Public, Private and Personal leadership. The model is usually presented in diagram form as three concentric circles and four outwardly directed arrows, with personal leadership in the center. The first two levels – public and private leadership – are "outer" or "behavioral" levels.
v. t. e. A Venn diagram is a widely used diagram style that shows the logical relation between sets, popularized by John Venn (1834–1923) in the 1880s. The diagrams are used to teach elementary set theory, and to illustrate simple set relationships in probability, logic, statistics, linguistics and computer science.
Tree (set theory) A branch (highlighted green) of a set-theoretic tree. Here dots represent elements, arrows represent the order relation, and ellipses and dashed arrows represent (possibly infinite) un-pictured elements and relationships. In set theory, a tree is a partially ordered set ( T , <) such that for each t ∈ T, the set { s ∈ T ...
A decision tree is a flowchart -like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test, and each leaf node represents a class label (decision taken after computing all attributes). The paths from root to leaf represent ...
For a countable label set X, Kruskal's tree theorem can be expressed and proven using second-order arithmetic.However, like Goodstein's theorem or the Paris–Harrington theorem, some special cases and variants of the theorem can be expressed in subsystems of second-order arithmetic much weaker than the subsystems where they can be proved.