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FOCS
1999
IEEE
15 years 11 months ago
Hardness of Approximating the Minimum Distance of a Linear Code
We show that the minimum distance of a linear code is not approximable to within any constant factor in random polynomial time (RP), unless nondeterministic polynomial time (NP) eq...
Ilya Dumer, Daniele Micciancio, Madhu Sudan
COMPGEOM
1992
ACM
15 years 10 months ago
A Subexponential Bound for Linear Programming
We present a simple randomized algorithm which solves linear programs with n constraints and d variables in expected minfO(d 22dn); e 2 pdln(n= p d)+O( p d+lnn)g time in the unit ...
Jirí Matousek, Micha Sharir, Emo Welzl
SODA
2008
ACM
104views Algorithms» more  SODA 2008»
15 years 8 months ago
Ranged hash functions and the price of churn
Ranged hash functions generalize hash tables to the setting where hash buckets may come and go over time, a typical case in distributed settings where hash buckets may correspond ...
James Aspnes, Muli Safra, Yitong Yin
ASE
2010
86views more  ASE 2010»
15 years 6 months ago
Stable rankings for different effort models
There exists a large and growing number of proposed estimation methods but little conclusive evidence ranking one method over another. Prior effort estimation studies suffered fro...
Tim Menzies, Omid Jalali, Jairus Hihn, Daniel Bake...
BMCBI
2010
190views more  BMCBI 2010»
15 years 6 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...