In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...
Upon engineering a Bayesian network for the early detection of Classical Swine Fever in pigs, we found that the commonly used approach of separately modelling the relevant observab...
Linda C. van der Gaag, Janneke H. Bolt, Willie Loe...
er abstract summarizes the Threat Modeling method based on Attacking Path Analysis (T-MAP) which quantifies and prioritizes security threats by calculating the total severity weig...
Abstract: The design of effective indicators and indicator systems requires a profound understanding of the relevant business context. Numerous relations and dependencies within an...
Ulrich Frank, David Heise, Heiko Kattenstroth, Han...
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...