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FGCS
2006
82views more  FGCS 2006»
15 years 1 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi
ICMLA
2010
14 years 11 months ago
Multimodal Parameter-exploring Policy Gradients
Abstract-- Policy Gradients with Parameter-based Exploration (PGPE) is a novel model-free reinforcement learning method that alleviates the problem of high-variance gradient estima...
Frank Sehnke, Alex Graves, Christian Osendorfer, J...
ACCV
2010
Springer
14 years 8 months ago
Saliency Density Maximization for Object Detection and Localization
Accurate localization of the salient object from an image is a difficult problem when the saliency map is noisy and incomplete. A fast approach to detect salient objects from image...
Ye Luo, Junsong Yuan, Ping Xue, Qi Tian
VTC
2006
IEEE
103views Communications» more  VTC 2006»
15 years 7 months ago
Codeword Length Optimization for CPPUWB Systems
— The optimal codeword length that generates the maximum output signal to interference ratio (SIR) for the channel-phase-precoded ultra-wideband (CPPUWB) system proposed in [1] i...
Yu-Hao Chang, Shang-Ho Tsai, Xiaoli Yu, C. C. Jay ...
IEAAIE
2004
Springer
15 years 7 months ago
An Algorithm for Incremental Mode Induction
Learning systems have been devised as a way of overcoming the knowledge acquisition bottleneck in the development of knowledge-based systems. They often cast learning to a search p...
Nicola Di Mauro, Floriana Esposito, Stefano Ferill...