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PE
2008
Springer
109views Optimization» more  PE 2008»
13 years 8 months ago
A conditional probability approach to M/G/1-like queues
Following up on a recently renewed interest in computational methods for M/G/1-type processes, this paper considers an M/G/1-like system in which the service time distribution is ...
Alexandre Brandwajn, Hongyun Wang
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 9 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
14 years 9 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
GLOBECOM
2009
IEEE
13 years 6 months ago
Downlink Distributed Beamforming through Relay Networks
Beamforming and relaying are two methods of improving wireless system performance. Until now, these techniques have been considered separately. In this paper, a single source (base...
Yi Zheng, Steven D. Blostein
GECCO
2011
Springer
232views Optimization» more  GECCO 2011»
12 years 12 months ago
Mutation rates of the (1+1)-EA on pseudo-boolean functions of bounded epistasis
When the epistasis of the fitness function is bounded by a constant, we show that the expected fitness of an offspring of the (1+1)-EA can be efficiently computed for any point...
Andrew M. Sutton, Darrell Whitley, Adele E. Howe