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» Sensor Errors Prediction Using Neural Networks
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113
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TWC
2008
143views more  TWC 2008»
15 years 2 months ago
Power-efficient wireless OFDMA using limited-rate feedback
Emerging applications involving low-cost wireless sensor networks motivate well optimization of multi-user orthogonal frequency-division multiple access (OFDMA) in the power-limite...
Antonio G. Marqués, Georgios B. Giannakis, ...
151
Voted
MLDM
2007
Springer
15 years 8 months ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
124
Voted
CISS
2008
IEEE
15 years 9 months ago
The Chinese Generals Problem
Abstract—To achieve higher reliability, safety, and faulttolerance, many mission-critical detection and decision systems implement consensus algorithms that force the systems’ ...
Edwin Soedarmadji
130
Voted
MICRO
2006
IEEE
127views Hardware» more  MICRO 2006»
15 years 8 months ago
A Predictive Performance Model for Superscalar Processors
Designing and optimizing high performance microprocessors is an increasingly difficult task due to the size and complexity of the processor design space, high cost of detailed si...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
123
Voted
NCA
2002
IEEE
15 years 2 months ago
The Construction of Smooth Models using Irregular Embeddings Determined by a Gamma Test Analysis
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
Alban P. M. Tsui, Antonia J. Jones, A. Guedes de O...