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111
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CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 22 days ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
118
Voted
ISCA
2008
IEEE
136views Hardware» more  ISCA 2008»
15 years 21 days ago
The Design and Performance of a Bare PC Web Server
There is an increasing need for new Web server architectures that are application-centric, simple, small, and pervasive in nature. In this paper, we present a novel architecture f...
Long He, Ramesh K. Karne, Alexander L. Wijesinha
82
Voted
TSMC
2008
99views more  TSMC 2008»
15 years 18 days ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
96
Voted
CEC
2010
IEEE
14 years 10 months ago
Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
106
Voted
JSSPP
2010
Springer
14 years 10 months ago
Dynamic Proportional Share Scheduling in Hadoop
We present the Dynamic Priority (DP) parallel task scheduler for Hadoop. It allows users to control their allocated capacity by adjusting their spending over time. This simple mech...
Thomas Sandholm, Kevin Lai