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# generalized delta rule

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• Generalized function — In mathematics, generalized functions are objects generalizing the notion of functions. There is more than one recognised theory. Generalized functions are especially useful in making discontinuous functions more like smooth functions, and (going …   Wikipedia

• Generalized Hebbian Algorithm — The Generalized Hebbian Algorithm (GHA), also known in the literature as Sanger s rule, is a linear feedforward neural network model for unsupervised learning with applications primarily in principal components analysis. First defined in 1989cite …   Wikipedia

• Admissible decision rule — In classical (frequentist) decision theory, an admissible decision rule is a rule for making a decision that is better than any other rule that may compete with it, in a specific sense defined below. Generally speaking, in most decision problems… …   Wikipedia

• Leibniz integral rule — In mathematics, Leibniz s rule for differentiation under the integral sign, named after Gottfried Leibniz, tells us that if we have an integral of the form: int {y 0}^{y 1} f(x, y) ,dy then for x in (x 0, x 1) the derivative of this integral is… …   Wikipedia

• Oja's rule — Oja s learning rule, or simply Oja s rule, named after a Finnish computer scientist Erkki Oja, is a model of how neurons in the brain or in artificial neural networks change connection strength, or learn, over time. It is a modification of the… …   Wikipedia

• Differentiation rules — Topics in Calculus Fundamental theorem Limits of functions Continuity Mean value theorem Differential calculus  Derivative Change of variables Implicit differentiation Taylor s theorem Related rates …   Wikipedia

• Lagrangian mechanics — is a re formulation of classical mechanics that combines conservation of momentum with conservation of energy. It was introduced by Italian mathematician Lagrange in 1788. In Lagrangian mechanics, the trajectory of a system of particles is… …   Wikipedia

• Normal distribution — This article is about the univariate normal distribution. For normally distributed vectors, see Multivariate normal distribution. Probability density function The red line is the standard normal distribution Cumulative distribution function …   Wikipedia

• Bayes estimator — In decision theory and estimation theory, a Bayes estimator is an estimator or decision rule that maximizes the posterior expected value of a utility function or minimizes the posterior expected value of a loss function (also called posterior… …   Wikipedia

• Fourier transform — Fourier transforms Continuous Fourier transform Fourier series Discrete Fourier transform Discrete time Fourier transform Related transforms The Fourier transform is a mathematical operation that decomposes a function into its constituent… …   Wikipedia

• Laplace operator — This article is about the mathematical operator. For the Laplace probability distribution, see Laplace distribution. For graph theoretical notion, see Laplacian matrix. Del Squared redirects here. For other uses, see Del Squared (disambiguation) …   Wikipedia

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