We give some estimates related to nite element multilevel splittings and Sobolev norms of negative order. Basically, results for the positive order case are carried over by dualit...
Several methods for automatically generating labeled examples that can be used as training data for WSD systems have been proposed, including a semisupervised approach based on re...
The concept of a stable model provided a declarative semantics for Prolog programs with negation as failure and became a starting point for the development of answer set programmi...
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
Driven by new regulations and animal welfare, the need to develop in silico models has increased recently as alternative approaches to safety assessment of chemicals without animal...