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» A comparison of tight generalization error bounds
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VTC
2006
IEEE
127views Communications» more  VTC 2006»
13 years 11 months ago
Asymptotic Performance of Coded OFDM with Modulation Diversity and Iterative Decoding
— This paper examines the bit error probability (BEP) of bit-interleaved coded modulation and iterative decoding (BICM-ID) in OFDM systems with modulation diversity (MD) over cor...
Nghi H. Tran, Ha H. Nguyen, Tho Le-Ngoc
GLOBECOM
2008
IEEE
14 years 7 days ago
Diversity Performance of a Practical Non-Coherent Detect-and-Forward Receiver
—We propose a non-coherent receiver for the fixed detect-and-forward relay channel and derive a closed-form tight upper bound on its bit error probability in Rayleigh fading cha...
Michael R. Souryal, Huiqing You
JMLR
2008
117views more  JMLR 2008»
13 years 5 months ago
Active Learning by Spherical Subdivision
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
Falk-Florian Henrich, Klaus Obermayer
IWANN
2001
Springer
13 years 10 months ago
Repeated Measures Multiple Comparison Procedures Applied to Model Selection in Neural Networks
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
Elisa Guerrero Vázquez, Andrés Y&aac...
ML
2010
ACM
163views Machine Learning» more  ML 2010»
13 years 17 days ago
Classification with guaranteed probability of error
We introduce a general-purpose learning machine that we call the Guaranteed Error Machine, or GEM, and two learning algorithms, a real GEM algorithm and an ideal GEM algorithm. Th...
Marco C. Campi