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» Remarks on the Schoof-Elkies-Atkin algorithm
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ICML
2000
IEEE
14 years 10 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
ISPD
2009
ACM
126views Hardware» more  ISPD 2009»
14 years 4 months ago
A new algorithm for simultaneous gate sizing and threshold voltage assignment
Gate sizing and threshold voltage (Vt) assignment are popular techniques for circuit timing and power optimization. Existing methods, by and large, are either sensitivity-driven h...
Yifang Liu, Jiang Hu
GECCO
2003
Springer
114views Optimization» more  GECCO 2003»
14 years 3 months ago
Genetic Algorithm for Supply Planning Optimization under Uncertain Demand
Supply planning optimization is one of the most important issues for manufacturers and distributors. Supply is planned to meet the future demand. Under the uncertainty involved in ...
Masaru Tezuka, Masahiro Hiji
ICIP
2006
IEEE
14 years 11 months ago
Perfect Reconstruction AM-FM Image Models
For the first time, we present an AM-FM image model that, in addition to being remarkably consistent with human visual perception, also provides perfect reconstruction of the imag...
Roy A. Sivley, Joseph P. Havlicek
BMCBI
2008
116views more  BMCBI 2008»
13 years 10 months ago
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...