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  2. Constructing skill trees - Wikipedia

    en.wikipedia.org/wiki/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 and integrate the results ...

  3. Decision tree - Wikipedia

    en.wikipedia.org/wiki/Decision_tree

    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 ...

  4. Root cause analysis - Wikipedia

    en.wikipedia.org/wiki/Root_cause_analysis

    Root cause analysis. In the field of science and engineering, root cause analysis ( RCA) is a method of problem solving used for identifying the root causes of faults or problems. [ 1] It is widely used in IT operations, manufacturing, telecommunications, industrial process control, accident analysis (e.g., in aviation, [ 2] rail transport, or ...

  5. Random forest - Wikipedia

    en.wikipedia.org/wiki/Random_forest

    Random forests or random decision forests is an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees at training time. For classification tasks, the output of the random forest is the class selected by most trees. For regression tasks, the mean or average prediction ...

  6. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    v. t. e. Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable can take a discrete set of values are called ...

  7. Melaleuca quinquenervia - Wikipedia

    en.wikipedia.org/wiki/Melaleuca_quinquenervia

    Melaleuca quinquenervia, commonly known as the broad-leaved paperbark, paper bark tea tree, punk tree or niaouli, is a small- to medium-sized tree of the myrtle family, Myrtaceae. It grows as a spreading tree up to 20 m (70 ft) tall, with its trunk covered by a white, beige and grey thick papery bark. The grey-green leaves are egg-shaped, and ...

  8. Tree (graph theory) - Wikipedia

    en.wikipedia.org/wiki/Tree_(graph_theory)

    v − 1. Chromatic number. 2 if v > 1. Table of graphs and parameters. In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. [ 1] A forest is an undirected graph in which any two vertices are connected by at most one path, or equivalently ...

  9. Multilingualism - Wikipedia

    en.wikipedia.org/wiki/Multilingualism

    The definition of multilingualism is a subject of debate in the same way as that of language fluency. At one end of the linguistic continuum, multilingualism may be defined as the mastery of more than one language. The speaker would have knowledge of and control over the languages equivalent to that of a native speaker.