The Green Function Variational Approximation: Significance of Physical Constraints

A variational radial basis function approximation for diffusion processes

In this paper we present a radial basis function based extension to a recently proposed variational algorithm for approximate inference for diffusion processes. Inference, for state and in particular (hyper-) parameters, in diffusion processes is a challenging and crucial task. We show that the new radial basis function approximation based algorithm converges to the original algorithm and has b...

Best approximation and variational inequality problems involving a simulation function

The Variational Gaussian Approximation Revisited

The variational approximation of posterior distributions by multivariate gaussians has been much less popular in the machine learning community compared to the corresponding approximation by factorizing distributions. This is for a good reason: the gaussian approximation is in general plagued by an Omicron(N)(2) number of variational parameters to be optimized, N being the number of random vari...

Variational Bayes Approximation

which is sometimes referred to as the product rule. As we well know, our primary interest lies in the factor pZ|X(z|x). The rest of this lecture is concerned with characterizing this density using the method of variational Bayes (VB) approximation. This is the second example of a deterministic scheme in approximating the conditional density for inferential procedures (the first being Laplace ap...

the significance of conjunction as a cohesive device in teaching writing

the research questions were as follows: 1. is there any relationship between the students concious awareness of the form and implications of the conjuncations and their improvement in using appropriate conjunctions? 2. does students knowledge of the from and the implications of the conjunctions help them to produce more coherent writings. 3. does a comparison between english conjunctions and th...