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  2. BBC Pronunciation Unit - Wikipedia

    en.wikipedia.org/wiki/BBC_Pronunciation_Unit

    The BBC Pronunciation Unit, also known as the BBC Pronunciation Research Unit, is an arm of the British Broadcasting Corporation (BBC) comprising linguists (phoneticians) whose role is "to research and advise on the pronunciation of any words, names or phrases in any language required by anyone in the BBC". [1]

  3. Wikipedia : Pronunciation (simple guide to markup, American)

    en.wikipedia.org/wiki/Wikipedia:Pronunciation...

    The Merriam-Webster Online Dictionary suggests the first pronunciation. Similarly, this pronunciation markup guide will choose the most widely used form. NOTE: This guide is designed to be simple and easy to use. This can only be achieved by giving up scope and freedom from occasional ambiguity.

  4. Decision tree - Wikipedia

    en.wikipedia.org/wiki/Decision_tree

    Decision trees can also be seen as generative models of induction rules from empirical data. An optimal decision tree is then defined as a tree that accounts for most of the data, while minimizing the number of levels (or "questions"). [8] Several algorithms to generate such optimal trees have been devised, such as ID3/4/5, [9] CLS, ASSISTANT ...

  5. Decision tree model - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_model

    Decision Tree Model. In computational complexity theory, the decision tree model is the model of computation in which an algorithm can be considered to be a decision tree, i.e. a sequence of queries or tests that are done adaptively, so the outcome of previous tests can influence the tests performed next.

  6. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    A decision tree or a classification tree is a tree in which each internal (non-leaf) node is labeled with an input feature. The arcs coming from a node labeled with an input feature are labeled with each of the possible values of the target feature or the arc leads to a subordinate decision node on a different input feature.

  7. ID3 algorithm - Wikipedia

    en.wikipedia.org/wiki/ID3_algorithm

    In decision tree learning, ID3 (Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan [1] used to generate a decision tree from a dataset. ID3 is the precursor to the C4.5 algorithm , and is typically used in the machine learning and natural language processing domains.

  8. MECE principle - Wikipedia

    en.wikipedia.org/wiki/MECE_principle

    The MECE principle (mutually exclusive and collectively exhaustive) is a grouping principle for separating a set of items into subsets that are mutually exclusive (ME) and collectively exhaustive (CE). [1]

  9. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    Each complete English word has an arbitrary integer value associated with it. In computer science, a trie ( / ˈ t r aɪ / , / ˈ t r iː / ), also known as a digital tree or prefix tree , [ 1 ] is a specialized search tree data structure used to store and retrieve strings from a dictionary or set.