For their scalability needs, data-intensive Web applications can use a Database Scalability Service (DBSS), which caches applications' query results and answers queries on th...
Amit Manjhi, Phillip B. Gibbons, Anastassia Ailama...
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
As open source development has evolved, differentiation of roles and increased sophistication of collaborative processes has occurred. Recently, we described coordination issues i...
Jason B. Ellis, Shahtab Wahid, Catalina Danis, Wen...
Analyzing a program run can provide important insights about its correctness. Dynamic analysis of complex correctness properties, however, usually results in significant run-time ...
Matthew B. Dwyer, Alex Kinneer, Sebastian G. Elbau...