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  2. Backpropagation - Wikipedia

    en.wikipedia.org/wiki/Backpropagation

    Backpropagation computes the gradient of a loss function with respect to the weights of the network for a single input–output example, and does so efficiently, computing the gradient one layer at a time, iterating backward from the last layer to avoid redundant calculations of intermediate terms in the chain rule; this can be derived through ...

  3. Forward–backward algorithm - Wikipedia

    en.wikipedia.org/wiki/Forward–backward_algorithm

    The first pass goes forward in time while the second goes backward in time; hence the name forward–backward algorithm. The term forward–backward algorithm is also used to refer to any algorithm belonging to the general class of algorithms that operate on sequence models in a forward–backward manner. In this sense, the descriptions in the ...

  4. Multivariate adaptive regression spline - Wikipedia

    en.wikipedia.org/wiki/Multivariate_adaptive...

    The backward pass has an advantage over the forward pass: at any step it can choose any term to delete, whereas the forward pass at each step can only see the next pair of terms. The forward pass adds terms in pairs, but the backward pass typically discards one side of the pair and so terms are often not seen in pairs in the final model.

  5. Forward algorithm - Wikipedia

    en.wikipedia.org/wiki/Forward_algorithm

    The backward algorithm complements the forward algorithm by taking into account the future history if one wanted to improve the estimate for past times. This is referred to as smoothing and the forward/backward algorithm computes (|:) for < <. Thus, the full forward/backward algorithm takes into account all evidence.

  6. Mathematics of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Mathematics_of_artificial...

    A neuron with label receiving an input () from predecessor neurons consists of the following components: [1]. an activation (), the neuron's state, depending on a discrete time parameter,

  7. Stochastic dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Stochastic_dynamic_programming

    The value of an optimal policy and its structure are then retrieved via a (backward pass) in which these suspended recursive calls are resolved. A key difference from backward recursion is the fact that f t {\displaystyle f_{t}} is computed only for states that are relevant for the computation of f 1 ( s ) {\displaystyle f_{1}(s)} .

  8. Watch: Patrick Mahomes makes behind-the-back pass after ... - AOL

    www.aol.com/watch-patrick-mahomes-picks-first...

    Kansas City Chiefs quarterback Patrick Mahomes' spectacular behind-the-back pass to tight end Travis Kelce is an early candidate for the play of the week but says the highlight was actually caused ...

  9. Graphical path method - Wikipedia

    en.wikipedia.org/wiki/Graphical_path_method

    The Graphical Path Method (GPM) is a mathematically based algorithm used in project management for planning, scheduling and resource control. GPM represents logical relationships of dated objects – such as activities , milestones , and benchmarks – in a time-scaled network diagram.