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  2. Delta College (Michigan) - Wikipedia

    en.wikipedia.org/wiki/Delta_College_(Michigan)

    Collectively, these stations are known as Delta College Public Media and they serve an audience of 1.2 million people in mid-Michigan. The college's student-run newspaper is the Delta Collegiate and has been published since the college opened in 1961. The newspaper prints a new issue every two weeks during the fall and winter semester.

  3. Log-structured merge-tree - Wikipedia

    en.wikipedia.org/wiki/Log-structured_merge-tree

    Log-structured merge-tree. In computer science, the log-structured merge-tree (also known as LSM tree, or LSMT [1]) is a data structure with performance characteristics that make it attractive for providing indexed access to files with high insert volume, such as transactional log data. LSM trees, like other search trees, maintain key-value pairs.

  4. Learning rule - Wikipedia

    en.wikipedia.org/wiki/Learning_rule

    Learning rule. An artificial neural network 's learning rule or learning process is a method, mathematical logic or algorithm which improves the network's performance and/or training time. Usually, this rule is applied repeatedly over the network. It is done by updating the weights and bias levels of a network when a network is simulated in a ...

  5. Least mean squares filter - Wikipedia

    en.wikipedia.org/wiki/Least_mean_squares_filter

    This cost function (()) is the mean square error, and it is minimized by the LMS. This is where the LMS gets its name. Applying steepest descent means to take the partial derivatives with respect to the individual entries of the filter coefficient (weight) vector

  6. Stochastic gradient descent - Wikipedia

    en.wikipedia.org/wiki/Stochastic_gradient_descent

    Stochastic gradient descent is a popular algorithm for training a wide range of models in machine learning, including (linear) support vector machines, logistic regression (see, e.g., Vowpal Wabbit) and graphical models. [21] When combined with the back propagation algorithm, it is the de facto standard algorithm for training artificial neural ...

  7. Delta rule - Wikipedia

    en.wikipedia.org/wiki/Delta_rule

    While the delta rule is similar to the perceptron's update rule, the derivation is different. The perceptron uses the Heaviside step function as the activation function g ( h ) {\displaystyle g(h)} , and that means that g ′ ( h ) {\displaystyle g'(h)} does not exist at zero, and is equal to zero elsewhere, which makes the direct application ...

  8. Recursive least squares filter - Wikipedia

    en.wikipedia.org/wiki/Recursive_least_squares_filter

    Recursive least squares filter. Recursive least squares ( RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This approach is in contrast to other algorithms such as the least mean squares (LMS) that aim to reduce the mean square ...

  9. Delta3D - Wikipedia

    en.wikipedia.org/wiki/Delta3d

    Delta3d is an open source engine which can be used for games, simulations, or other graphical applications. Its modular design integrates other well-known Open Source projects such as Open Scene Graph, Open Dynamics Engine, Character Animation Library (CAL3D), and OpenAL. Rather than bury the underlying modules, Delta3D integrates them together ...