In this paper, we will evaluate the power and usefulness of Bayesian network classifiers for credit scoring. Various types of Bayesian network classifiers will be evaluated and co...
Bart Baesens, Michael Egmont-Petersen, Robert Cast...
Abstract— Encounter-based network is a frequentlydisconnected wireless ad-hoc network requiring immediate neighbors to store and forward aggregated data for information dissemina...
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
—Latch based circuits are widely adopted in high performance circuits. But there is a lack of accurate latch models for doing timing analysis. In this paper, we propose a new lat...
Sean X. Shi, Anand Ramalingam, Daifeng Wang, David...
: A Burg technique is employed to model the long wavelength localization and imaging problem. A Burg method is used as a high resolution and stable technique. The idea of in-line h...