—Formal models are often used to verify systems and prove their correctness, and ensure that transformed models remain consistent to the original system. However, formal techniqu...
I present a general framework for observing and controlling a distributed computation and its applications to distributed debugging. Algorithms for observation are useful in distr...
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
Data grids provide geographically distributed storage and computing resources for large data-intensive applications. To support fast data access and processing, effective data man...
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...