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» On the Use of Evidence in Neural Networks
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ESWA
2008
223views more  ESWA 2008»
15 years 1 months ago
Credit risk assessment with a multistage neural network ensemble learning approach
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
Lean Yu, Shouyang Wang, Kin Keung Lai
UAI
2003
15 years 2 months ago
An Importance Sampling Algorithm Based on Evidence Pre-propagation
Precision achieved by stochastic sampling algorithms for Bayesian networks typically deteriorates in face of extremely unlikely evidence. To address this problem, we propose the E...
Changhe Yuan, Marek J. Druzdzel
TSMC
2008
162views more  TSMC 2008»
15 years 1 months ago
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masat...
FC
2006
Springer
119views Cryptology» more  FC 2006»
15 years 5 months ago
Auditable Privacy: On Tamper-Evident Mix Networks
Abstract. We introduce the notion of tamper-evidence for mix networks in order to defend against attacks aimed at covertly leaking secret information held by corrupted mix servers....
Jong Youl Choi, Philippe Golle, Markus Jakobsson

Tutorial
4472views
16 years 7 days ago
An Introduction to Encog Neural Networks for Java
This article provides a basic introduction to neural networks and neural network programming using the Encog Artificial Intelligence Framework. Encog is an AI framework that is ava...
Jeff Heaton