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» On the Error Parameter of Dispersers
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ML
2008
ACM
14 years 11 months ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer
FSS
2007
117views more  FSS 2007»
14 years 11 months ago
Multiple regression with fuzzy data
In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
PR
2008
85views more  PR 2008»
14 years 11 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
SIAMSC
2008
198views more  SIAMSC 2008»
14 years 11 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
IJNSEC
2007
189views more  IJNSEC 2007»
14 years 11 months ago
When Fingerprints Are Combined with Iris - A Case Study: FVC2004 and CASIA
This paper presents novel studies on fusion strategies for personal identification using fingerprint and iris biometrics. The purpose of our paper is to investigate whether the ...
Alessandra Lumini, Loris Nanni