We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
We present a multi-lingual type inference system for checking type safety across a foreign function interface. The goal of our system is to prevent foreign function calls from int...
This paper presents the design and implementation of a thread virtual machine, called TNT (or TiNy-Threads) for the IBM Cyclops64 architecture (the latest Cyclops architecture tha...
Juan del Cuvillo, Weirong Zhu, Ziang Hu, Guang R. ...
Recommender systems — systems that suggest to users in e-commerce sites items that might interest them — adopt a static view of the recommendation process and treat it as a pr...