With the development of high-speed network technique and increasing volume of network traffic, traditional pattern matching method can't adapt to the new challenges to intrus...
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
This paper describes a set of visualization tools which aid the understanding of discussion topics and trends in online discussion forums. The tools integrate into the forum'...
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
The characteristic methods are known to be very efficient for convection-diffusion problems including the Navier-Stokes equations. Convergence is established when the integrals ar...