In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...
Huan Wang, Shuicheng Yan, Thomas S. Huang, Jianzhu...
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Query generators producing sequences of SQL statements are embedded in many applications. As the execution time of such sequences is often far from optimal, their optimization is ...
The goal of the Parfait project is to find bugs in C source code in a scalable and precise way. To this end, Parfait was designed as a framework with layers of sound program anal...
Cristina Cifuentes, Nathan Keynes, Lian Li, Bernha...