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» Models of real-valued measurability
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TNN
1998
146views more  TNN 1998»
15 years 7 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
FPGA
2010
ACM
182views FPGA» more  FPGA 2010»
15 years 5 months ago
A comprehensive approach to modeling, characterizing and optimizing for metastability in FPGAs
Metastability is a phenomenon that can cause system failures in digital circuits. It may occur whenever signals are being transmitted across asynchronous or unrelated clock domain...
Doris Chen, Deshanand Singh, Jeffrey Chromczak, Da...
TASLP
2010
165views more  TASLP 2010»
15 years 2 months ago
Model-Based Dereverberation Preserving Binaural Cues
The ability of the human auditory system for sound localization mainly depends on the binaural cues, especially interaural time and level differences (ITD and ILD). In the context ...
Marco Jeub, M. Schafer, Thomas Esch, Peter Vary
HICSS
2009
IEEE
101views Biometrics» more  HICSS 2009»
16 years 2 months ago
A Cost-Based Model for Improving Customer Waiting Times
The effective management of a service organization requires measuring system performance on many attributes. Customer waiting time is inherent to nearly all service operations and...
Alfred L. Guiffrida, Michael J. Messina
ECML
2007
Springer
16 years 1 months ago
An Improved Model Selection Heuristic for AUC
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
Shaomin Wu, Peter A. Flach, Cèsar Ferri Ram...