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ICPADS
1994
IEEE
14 years 1 months ago
Stochastic Modeling of Scaled Parallel Programs
Testingthe performance scalabilityof parallelprograms can be a time consuming task, involving many performance runs for different computer configurations, processor numbers, and p...
Allen D. Malony, Vassilis Mertsiotakis, Andreas Qu...
TNN
2010
176views Management» more  TNN 2010»
13 years 3 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
SAMOS
2007
Springer
14 years 3 months ago
An Evolutionary Approach to Area-Time Optimization of FPGA designs
—This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on programmable devices (FPGAs). It starts ...
Fabrizio Ferrandi, Pier Luca Lanzi, Gianluca Paler...
COR
2007
133views more  COR 2007»
13 years 9 months ago
Reverse logistics network design with stochastic lead times
This work is concerned with the efficient design of a reverse logistics network using an extended version of models currently found in the literature. Those traditional, basic mo...
Kris Lieckens, Nico Vandaele
SIGECOM
2005
ACM
153views ECommerce» more  SIGECOM 2005»
14 years 2 months ago
Marginal contribution nets: a compact representation scheme for coalitional games
We present a new approach to representing coalitional games based on rules that describe the marginal contributions of the agents. This representation scheme captures characterist...
Samuel Ieong, Yoav Shoham