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111
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DCC
2009
IEEE
16 years 4 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
141
Voted
CISS
2011
IEEE
14 years 7 months ago
On the capacity region of multiple-access relay channels
The capacity regions of two classes of multiple­ access relay channels (MARes) are characterized. The MARes studied in this paper include a primitive relay component, which can he...
Ravi Tandon, H. Vincent Poor
118
Voted
CISS
2007
IEEE
15 years 10 months ago
Estimation of block-fading channels with reduced-rank correlation matrix
— In block-fading transmission, the discrete-time taps of time-varying channels can be generally modelled as a stationary random vector process with unknown and rank-deficient c...
Osvaldo Simeone, Umberto Spagnolini
133
Voted
IJCNN
2007
IEEE
15 years 10 months ago
Evaluation of Performance Measures for SVR Hyperparameter Selection
— To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we sea...
Koen Smets, Brigitte Verdonk, Elsa Jordaan
153
Voted
ISLPED
1997
ACM
130views Hardware» more  ISLPED 1997»
15 years 7 months ago
K2: an estimator for peak sustainable power of VLSI circuits
New measures of peak power in the context of sequential circuits are proposed. This paper presents an automatic procedure to obtain very good lower bounds on these measures as wel...
Michael S. Hsiao, Elizabeth M. Rudnick, Janak H. P...