Improving Shared Decision Making (SDM) and patient-provider communication, and providing all citizens with equal access to health information has become a high priority health poli...
Cornelia M. Ruland, Haakon Bryhni, Roar Andersen, ...
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Abstract. In recent years, we have seen the arrival of Distributed Denial-ofService (DDoS) open-source bot-based attack tools facilitating easy code enhancement, and so resulting i...
Vrizlynn L. L. Thing, Morris Sloman, Naranker Dula...