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JMLR
2006
389views more  JMLR 2006»
15 years 6 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
RAID
2010
Springer
15 years 5 months ago
Fast-Flux Bot Detection in Real Time
The fast-flux service network architecture has been widely adopted by bot herders to increase the productivity and extend the lifespan of botnets’ domain names. A fast-flux bot...
Ching-Hsiang Hsu, Chun-Ying Huang, Kuan-Ta Chen
ICCAD
2009
IEEE
125views Hardware» more  ICCAD 2009»
15 years 4 months ago
CROP: Fast and effective congestion refinement of placement
Modern circuits become harder to route with the ever decreasing design features. Previous routability-driven placement techniques are usually tightly coupled with the underlying p...
Yanheng Zhang, Chris Chu
FAST
2007
15 years 8 months ago
PARAID: A Gear-Shifting Power-Aware RAID
Reducing power consumption for server computers is important, since increased energy usage causes increased heat dissipation, greater cooling requirements, reduced computational d...
Charles Weddle, Mathew Oldham, Jin Qian, An-I Andy...
ICDE
2007
IEEE
127views Database» more  ICDE 2007»
16 years 8 months ago
Supporting Streaming Updates in an Active Data Warehouse
Active Data Warehousing has emerged as an alternative to conventional warehousing practices in order to meet the high demand of applications for up-to-date information. In a nutsh...
Neoklis Polyzotis, Spiros Skiadopoulos, Panos Vass...