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» Practical Bias Variance Decomposition
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DATE
2010
IEEE
119views Hardware» more  DATE 2010»
13 years 7 months ago
Practical Monte-Carlo based timing yield estimation of digital circuits
—The advanced sampling and variance reduction techniques as efficient alternatives to the slow crude-MC method have recently been adopted for the analysis of timing yield in dig...
Javid Jaffari, Mohab Anis
BMCBI
2010
165views more  BMCBI 2010»
13 years 7 months ago
Filtering, FDR and power
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
Maarten van Iterson, Judith M. Boer, Renée ...
IMC
2009
ACM
14 years 2 months ago
Sampling biases in network path measurements and what to do about it
We show that currently prevalent practices for network path measurements can produce inaccurate inferences because of sampling biases. The inferred mean path latency can be more t...
Srikanth Kandula, Ratul Mahajan
KDD
2009
ACM
170views Data Mining» more  KDD 2009»
14 years 8 months ago
Genre-based decomposition of email class noise
Corruption of data by class-label noise is an important practical concern impacting many classification problems. Studies of data cleaning techniques often assume a uniform label ...
Aleksander Kolcz, Gordon V. Cormack
HICSS
2008
IEEE
165views Biometrics» more  HICSS 2008»
13 years 7 months ago
Integrating Conflicting Reviews: Attributional Hypotheses of Consumer Response to Information Uncertainty depending on Prior Bra
This study investigates how consumers evaluate a product when they read conflicting online consumer reviews of evaluations from previous consumers. If consumers are rational, as i...
Do-Hyung Park, Ingoo Han