variational parameter

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• Variational Bayesian methods — Variational Bayesian methods, also called ensemble learning, are a family of techniques for approximating intractable integrals arising in Bayesian statistics and machine learning. They can be used to lower bound the marginal likelihood (i.e.… …   Wikipedia

• Variational message passing — (VMP) is an approximate inference technique for continuous valued Bayesian networks, with conjugate exponential parents, developed by John Winn in his PhD thesis. John Winn is now at Microsoft Research. VMP was developed as a means of… …   Wikipedia

• Variational vector field — In the mathematical fields of the calculus of variations and differential geometry, the variational vector field is a certain type of vector field defined on the tangent bundle of a differentiable manifold which gives rise to variations along a… …   Wikipedia

• Variational perturbation theory — In mathematics, variational perturbation theory is a mathematical method to convert divergent power series in a small expansion parameter, say :s=sum {n=0}^infty a n g^n, into a convergent series in powers :s=sum {n=0}^infty b n /(g^omega)^n,… …   Wikipedia

• Schwinger's variational principle — In Schwinger s variational approach to quantum field theory, introduced by Julian Schwinger, the quantum action is an operator. Although this approachis superficially different from the functional integral(path integral) where the action is a… …   Wikipedia

• One-shot learning — is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object categorization algorithms require training on hundreds or thousands of images and very large datasets, one shot… …   Wikipedia

• Expectation-maximization algorithm — An expectation maximization (EM) algorithm is used in statistics for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. EM alternates between performing an… …   Wikipedia

• Calculus of variations — is a field of mathematics that deals with extremizing functionals, as opposed to ordinary calculus which deals with functions. A functional is usually a mapping from a set of functions to the real numbers. Functionals are often formed as definite …   Wikipedia

• Perturbation theory (quantum mechanics) — In quantum mechanics, perturbation theory is a set of approximation schemes directly related to mathematical perturbation for describing a complicated quantum system in terms of a simpler one. The idea is to start with a simple system for which a …   Wikipedia

• Phase field models — A phase field model is a mathematical model for solving interfacial problems. It has been mainly applied to solidification dynamics, [ [http://arjournals.annualreviews.org/doi/abs/10.1146/annurev.matsci.32.101901.155803 WJ. Boettinger et al.… …   Wikipedia

• Polaron — A polaron is a quasiparticle composed of a charge and its accompanying polarization field. A slow moving electron in a dielectric crystal, interacting with lattice ions through long range forces will permanently be surrounded by a region of… …   Wikipedia