Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo...
Verification and validation are two very important steps in simulation modeling. Consequently, they are under constant review and examination from many different perspectives. Res...
Many multimedia applications rely on the computation of logarithms, for example, when estimating log-likelihoods for Gaussian Mixture Models. Knowing of the demand to compute loga...
The way people collaborate has been changed substantially. Team members are now belonging to different organizations, working on multiple objectives at the same time, frequently c...
Hong Linh Truong, Schahram Dustdar, Dino Baggio, S...
Synchronization algorithms that are efficient across a wide range of applications and operating conditions are hard to design because their performance depends on unpredictable ru...