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DAC
2008
ACM
16 years 3 months ago
Symbolic noise analysis approach to computational hardware optimization
This paper addresses the problem of computational error modeling and analysis. Choosing different word-lengths for each functional unit in hardware implementations of numerical al...
Arash Ahmadi, Mark Zwolinski
MA
2010
Springer
172views Communications» more  MA 2010»
15 years 1 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
TIP
2010
111views more  TIP 2010»
14 years 9 months ago
Green Noise Digital Halftoning With Multiscale Error Diffusion
Multiscale error diffusion (MED) is superior to conventional error diffusion algorithms as it can eliminate directional hysteresis completely and possesses a good blue noise chara...
Yik-Hing Fung, Yuk-Hee Chan
BMCBI
2011
14 years 6 months ago
Combinatorial analysis and algorithms for quasispecies reconstruction using next-generation sequencing
Background: Next-generation sequencing (NGS) offers a unique opportunity for high-throughput genomics and has potential to replace Sanger sequencing in many fields, including de-n...
Mattia C. F. Prosperi, Luciano Prosperi, Alessandr...
COLT
2005
Springer
15 years 8 months ago
Analysis of Perceptron-Based Active Learning
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Montele...