The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Modern websites are powered by JavaScript, a flexible dynamic scripting language that executes in client browsers. A common paradigm in such websites is to include third-party Ja...
Ravi Chugh, Jeffrey A. Meister, Ranjit Jhala, Sori...
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since t...
Andrea Capocci, Vito Domenico Pietro Servedio, Gui...
Security is critical to a wide range of wireless data applications and services. While several security mechanisms and protocols have been developed in the context of the wired In...
Nachiketh R. Potlapally, Srivaths Ravi, Anand Ragh...