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  2. Lambda lifting - Wikipedia

    en.wikipedia.org/wiki/Lambda_lifting

    Lambda abstractions applied to a parameter have a dual interpretation as either a let expression defining a function, or as defining an anonymous function. Both interpretations are valid. These two predicates are needed for both definitions. lambda-free - An expression containing no lambda abstractions. {-⁡ [.

  3. Lambda architecture - Wikipedia

    en.wikipedia.org/wiki/Lambda_architecture

    The two view outputs may be joined before presentation. The rise of lambda architecture is correlated with the growth of big data, real-time analytics, and the drive to mitigate the latencies of map-reduce. [1] Lambda architecture depends on a data model with an append-only, immutable data source that serves as a system of record.

  4. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  5. Fixed-point combinator - Wikipedia

    en.wikipedia.org/wiki/Fixed-point_combinator

    In this case particular lambda terms (which define functions) are considered as values. "Running" (beta reducing) the fixed-point combinator on the encoding gives a lambda term for the result which may then be interpreted as fixed-point value. Alternately, a function may be considered as a lambda term defined purely in lambda calculus.

  6. List of algorithms - Wikipedia

    en.wikipedia.org/wiki/List_of_algorithms

    An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems.. Broadly, algorithms define process(es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations.

  7. Open Asset Import Library - Wikipedia

    en.wikipedia.org/wiki/Open_Asset_Import_Library

    Open Asset Import Library (Assimp) is a cross-platform 3D model import library which aims to provide a common application programming interface (API) for different 3D asset file formats. Written in C++, it offers interfaces for both C and C++.

  8. Delegation pattern - Wikipedia

    en.wikipedia.org/wiki/Delegation_pattern

    In the delegate pattern, this is instead accomplished by explicitly passing the original object to the delegate, as an argument to a method. [1] " Delegation" is often used loosely to refer to the distinct concept of forwarding , where the sending object simply uses the corresponding member on the receiving object, evaluated in the context of ...

  9. Template method pattern - Wikipedia

    en.wikipedia.org/wiki/Template_method_pattern

    The template method is used in frameworks, where each implements the invariant parts of a domain's architecture, while providing hook methods for customization. This is an example of inversion of control. The template method is used for the following reasons. [3] It lets subclasses implement varying behavior (through overriding of the hook ...