We develop a logistics and transportation simulation that can be used to provide insights into potential outcomes of proposed military deployment plans. More specifically, we mode...
Ugur Ziya Yildirim, Ihsan Sabuncuoglu, Barbaros &C...
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
The threat to organisations from network attacks is very real. Current countermeasures to denial of service (DoS) attacks rely on the perimeter model of network security. However,...
This paper proposes a theoretical framework for predicting financial distress based on Hunt’s (2000) Resource-Advantage Theory of Competition. The study focuses on the US retail...