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» Parallel Induction Algorithms for Large Samples
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GIS
2008
ACM
14 years 8 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...
ICDCS
2007
IEEE
14 years 2 months ago
Uniform Data Sampling from a Peer-to-Peer Network
Uniform random sample is often useful in analyzing data. Usually taking a uniform sample is not a problem if the entire data resides in one location. However, if the data is distr...
Souptik Datta, Hillol Kargupta
DAC
2010
ACM
13 years 7 months ago
Parallel hierarchical cross entropy optimization for on-chip decap budgeting
Decoupling capacitor (decap) placement has been widely adopted as an effective way to suppress dynamic power supply noise. Traditional decap budgeting algorithms usually explore t...
Xueqian Zhao, Yonghe Guo, Zhuo Feng, Shiyan Hu
PPSN
2000
Springer
13 years 11 months ago
Real-Coded Adaptive Range Genetic Algorithm Applied to Transonic Wing Optimization
Real-coded Adaptive Range Genetic Algorithms (ARGAs) have been applied to a practical three-dimensional shape optimization for aerodynamic design of an aircraft wing. The real-code...
Akira Oyama, Shigeru Obayashi, Takashi Nakamura
DATE
2010
IEEE
153views Hardware» more  DATE 2010»
14 years 23 days ago
HORUS - high-dimensional Model Order Reduction via low moment-matching upgraded sampling
— This paper describes a Model Order Reduction algorithm for multi-dimensional parameterized systems, based on a sampling procedure which incorporates a low order moment matching...
Jorge Fernandez Villena, Luis Miguel Silveira