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» An Augmented Primal-Dual Method for Linear Conic Programs
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RIVF
2008
13 years 9 months ago
Simple but effective methods for combining kernels in computational biology
Complex biological data generated from various experiments are stored in diverse data types in multiple datasets. By appropriately representing each biological dataset as a kernel ...
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori ...
ICC
2009
IEEE
151views Communications» more  ICC 2009»
14 years 2 months ago
Slow Adaptive OFDMA via Stochastic Programming
—Fueled by the promises of high spectral efficiency, adaptive OFDMA has attracted enormous research interests over the last decade. The significant capacity gain of adaptive OF...
Wei Liang (William) Li, Ying Jun (Angela) Zhang, M...
JMLR
2006
156views more  JMLR 2006»
13 years 7 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
JMLR
2011
148views more  JMLR 2011»
13 years 2 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
ICC
2008
IEEE
161views Communications» more  ICC 2008»
14 years 2 months ago
Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization
—This paper concerns the problem of finding the minimum-length TDMA frame of a power-controlled wireless network subject to traffic demands and SINR (signalto-interference-plus...
Liqun Fu, Soung Chang Liew, Jianwei Huang