The cellular industry all over the world has been witnessing very high growth rates in subscriber base in recent years. For developing countries in particular, cellular services a...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
A class of binary decision-making tasks called the two-alternative forced-choice task has been used extensively in psychology and behavioral economics experiments to investigate h...
Ming Cao, Andrew Reed Stewart, Naomi Ehrich Leonar...
Despite the large number of papers on network topology modeling and inference, there still exists ambiguity about the real nature of the Internet AS and router level topology. Whi...
Hamed Haddadi, Steve Uhlig, Andrew W. Moore, Richa...
Background: Estimators of free energies are routinely used to judge the quality of protein structural models. As these estimators still present inaccuracies, they are frequently e...
Federico Fogolari, Silvio C. E. Tosatto, Giorgio C...