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FGCS
2006
82views more  FGCS 2006»
15 years 6 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
15 years 4 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
15 years 1 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»
16 years 16 days 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 12 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...