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  2. Backward compatibility - Wikipedia

    en.wikipedia.org/wiki/Backward_compatibility

    In telecommunications and computing, backward compatibility (or backwards compatibility) is a property of an operating system, software, real-world product, or technology that allows for interoperability with an older legacy system, or with input designed for such a system. Modifying a system in a way that does not allow backward compatibility ...

  3. Reverse engineering - Wikipedia

    en.wikipedia.org/wiki/Reverse_engineering

    Reverse engineering (also known as backwards engineering or back engineering) is a process or method through which one attempts to understand through deductive reasoning how a previously made device, process, system, or piece of software accomplishes a task with very little (if any) insight into exactly how it does so. Depending on the system ...

  4. Forward compatibility - Wikipedia

    en.wikipedia.org/wiki/Forward_compatibility

    Forward compatibility. Forward compatibility or upward compatibility is a design characteristic that allows a system to accept input intended for a later version of itself. The concept can be applied to entire systems, electrical interfaces, telecommunication signals, data communication protocols, file formats, and programming languages.

  5. Binary-code compatibility - Wikipedia

    en.wikipedia.org/wiki/Binary-code_compatibility

    Binary-code compatibility (binary compatible or object-code compatible) is a property of a computer system, meaning that it can run the same executable code, typically machine code for a general-purpose computer central processing unit (CPU), that another computer system can run. Source-code compatibility, on the other hand, means that ...

  6. Backpropagation - Wikipedia

    en.wikipedia.org/wiki/Backpropagation

    t. e. In machine learning, backpropagation is a gradient estimation method commonly used for training neural networks to compute the network parameter updates. It is an efficient application of the chain rule to neural networks. Backpropagation computes the gradient of a loss function with respect to the weights of the network for a single ...

  7. Forward–backward algorithm - Wikipedia

    en.wikipedia.org/wiki/Forward–backward_algorithm

    Forward–backward algorithm. The forward–backward algorithm is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state variables given a sequence of observations/emissions , i.e. it computes, for all hidden state variables , the distribution . This inference task is usually called smoothing.

  8. Dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming

    The definition of V n (y) is the value obtained in state y at the last time n. The values V i at earlier times i = n −1, n − 2, ..., 2, 1 can be found by working backwards, using a recursive relationship called the Bellman equation.

  9. Control flow - Wikipedia

    en.wikipedia.org/wiki/Control_flow

    Control flow. v. t. e. In computer science, control flow (or flow of control) is the order in which individual statements, instructions or function calls of an imperative program are executed or evaluated. The emphasis on explicit control flow distinguishes an imperative programming language from a declarative programming language.