Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
The use of Virtual Environments for Training is strongly stimulated by important needs for training on sensitive equipments. Yet, developing such an application is often done with...
Gnutella overlays have evolved to use a two-tier topology. However, we observed that the new topology had only achieved modest improvements in search success rates. Also, the new ...