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  2. Earley parser - Wikipedia

    en.wikipedia.org/wiki/Earley_parser

    The parser then repeatedly executes three operations: prediction, scanning, and completion. Prediction: For every state in S(k) of the form (X → α • Y β, j) (where j is the origin position as above), add (Y → • γ, k) to S(k) for every production in the grammar with Y on the left-hand side (Y → γ).

  3. Structured prediction - Wikipedia

    en.wikipedia.org/wiki/Structured_prediction

    This can be seen as a structured prediction problem [2] in which the structured output domain is the set of all possible parse trees. Structured prediction is used in a wide variety of domains including bioinformatics, natural language processing (NLP), speech recognition, and computer vision.

  4. Data-flow analysis - Wikipedia

    en.wikipedia.org/wiki/Data-flow_analysis

    Data-flow analysis is a technique for gathering information about the possible set of values calculated at various points in a computer program.A program's control-flow graph (CFG) is used to determine those parts of a program to which a particular value assigned to a variable might propagate.

  5. Pattern recognition - Wikipedia

    en.wikipedia.org/wiki/Pattern_recognition

    In addition, many probabilistic algorithms output a list of the N-best labels with associated probabilities, for some value of N, instead of simply a single best label. When the number of possible labels is fairly small (e.g., in the case of classification), N may be set so that the probability of all possible labels is output. Probabilistic ...

  6. Outline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Outline_of_machine_learning

    ML involves the study and construction of algorithms that can learn from and make predictions on data. [3] These algorithms operate by building a model from a training set of example observations to make data-driven predictions or decisions expressed as outputs, rather than following strictly static program instructions.

  7. Multiclass classification - Wikipedia

    en.wikipedia.org/wiki/Multiclass_classification

    In the one-vs.-one (OvO) reduction, one trains K (K − 1) / 2 binary classifiers for a K-way multiclass problem; each receives the samples of a pair of classes from the original training set, and must learn to distinguish these two classes. At prediction time, a voting scheme is applied: all K (K − 1) / 2 classifiers are applied to an unseen ...

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    mail.aol.com

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  9. Class (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Class_(computer_programming)

    Classes can be derived from one or more existing classes, thereby establishing a hierarchical relationship between the derived-from classes (base classes, parent classes or superclasses) and the derived class (child class or subclass) . The relationship of the derived class to the derived-from classes is commonly known as an is-a relationship. [21]