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JMLR
2006
389views more  JMLR 2006»
13 years 7 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,...
CIKM
2010
Springer
13 years 5 months ago
Fast dimension reduction for document classification based on imprecise spectrum analysis
This paper proposes an algorithm called Imprecise Spectrum Analysis (ISA) to carry out fast dimension reduction for document classification. ISA is designed based on the one-sided...
Hu Guan, Bin Xiao, Jingyu Zhou, Minyi Guo, Tao Yan...
DAC
2007
ACM
14 years 8 months ago
Fast Second-Order Statistical Static Timing Analysis Using Parameter Dimension Reduction
The ability to account for the growing impacts of multiple process variations in modern technologies is becoming an integral part of nanometer VLSI design. Under the context of ti...
Zhuo Feng, Peng Li, Yaping Zhan
ICAIL
2009
ACM
14 years 2 months ago
Integrating induction and deduction for finding evidence of discrimination
Automatic Decision Support Systems (DSS) are widely adopted for screening purposes in socially sensitive tasks, including access to credit, mortgage, insurance, labor market and o...
Dino Pedreschi, Salvatore Ruggieri, Franco Turini
IJCV
2002
96views more  IJCV 2002»
13 years 7 months ago
A VLSI-Compatible Computer Vision Algorithm for Stereoscopic Depth Analysis in Real-Time
The analysis of the depth coordinates of objects in a visual scene is of vital importance for animals as well as in technological applications like autonomous robot navigation or p...
Bernd Porr, Bernd Nürenberg, Florentin Wö...