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131
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ICCAD
2004
IEEE
118views Hardware» more  ICCAD 2004»
16 years 12 days ago
Optimizing mode transition sequences in idle intervals for component-level and system-level energy minimization
New embedded systems offer rich power management features in the form of multiple operational and non-operational power modes. While they offer mechanisms for better energy effic...
Jinfeng Liu, Pai H. Chou
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 10 months ago
Insight knowledge in search based software testing
Software testing can be re-formulated as a search problem, hence search algorithms (e.g., Genetic Algorithms) can be used to tackle it. Most of the research so far has been of emp...
Andrea Arcuri
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 10 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
156
Voted
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 9 months ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein
108
Voted
CVPR
2007
IEEE
16 years 5 months ago
Linear Laplacian Discrimination for Feature Extraction
Discriminant feature extraction plays a fundamental role in pattern recognition. In this paper, we propose the Linear Laplacian Discrimination (LLD) algorithm for discriminant fea...
Deli Zhao, Zhouchen Lin, Rong Xiao, Xiaoou Tang