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  2. Bridge pattern - Wikipedia

    en.wikipedia.org/wiki/Bridge_pattern

    The Bridge design pattern is one of the twenty-three well-known GoF design patterns that describe how to solve recurring design problems to design flexible and reusable object-oriented software, that is, objects that are easier to implement, change, test, and reuse.

  3. Bridging (programming) - Wikipedia

    en.wikipedia.org/wiki/Bridging_(programming)

    As the C and Obj-C sides of the system needed to share data, and the data on the Obj-C side was normally stored in objects (as opposed to base types), conversions to and from CF could be expensive. Apple was not willing to pay this performance penalty, so they implemented a scheme known as "toll-free bridging" to help reduce or eliminate this ...

  4. Bridging model - Wikipedia

    en.wikipedia.org/wiki/Bridging_model

    In computer science, a bridging model is an abstract model of a computer which provides a conceptual bridge between the physical implementation of the machine and the abstraction available to a programmer of that machine; in other words, it is intended to provide a common level of understanding between hardware and software engineers.

  5. Differentiable programming - Wikipedia

    en.wikipedia.org/wiki/Differentiable_programming

    Differentiable programming is making significant strides in various fields beyond its traditional applications. In healthcare and life sciences, for example, it is being used for deep learning in biophysics-based modelling of molecular mechanisms.

  6. Object copying - Wikipedia

    en.wikipedia.org/wiki/Object_copying

    In VBA, an assignment of variables of type Object is a shallow copy, an assignment for all other types (numeric types, String, user defined types, arrays) is a deep copy. So the keyword Set for an assignment signals a shallow copy and the (optional) keyword Let signals a deep copy. There is no built-in method for deep copies of Objects in VBA.

  7. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

  8. Outline of natural language processing - Wikipedia

    en.wikipedia.org/wiki/Outline_of_natural...

    For example, in a sentence such as "He entered John's house through the front door", "the front door" is a referring expression and the bridging relationship to be identified is the fact that the door being referred to is the front door of John's house (rather than of some other structure that might also be referred to). Dialog system –

  9. Semantic parsing - Wikipedia

    en.wikipedia.org/wiki/Semantic_parsing

    Shallow semantic parsing is concerned with identifying entities in an utterance and labelling them with the roles they play. Shallow semantic parsing is sometimes known as slot-filling or frame semantic parsing, since its theoretical basis comes from frame semantics, wherein a word evokes a frame of related concepts and roles.