Error Estimating Codes with Constant Overhead: A Random Walk Approach Hongyi Yao and Tracey Ho California Institute of Technology {hyao,tho}@Caltech.edu Abstract—The paper studies the construction of errorestimating co

Source URL: www.its.caltech.edu

Error Threshold for Color Codes and Random 3-Body Ising Models Helmut G. Katzgraber,1, 2 H. Bombin,3 and M. A. Martin-Delgado4 1 Theoretische Physik, ETH Zurich, CH-8093 Zurich, Switzerland Department of Physics, Texas A

Source URL: arxiv.org

This Washington Post-ABC News poll was conducted by telephone September 7-10, 2015, among a random national sample of 1,003 adults, including landline and cell phone respondents. Results have a 3.5 point error margin. Sa

Source URL: assets.documentcloud.org

Frameworks for massively parallel computing: Massively inefficient? Bianca Schroeder* (joint with Nosayba El-Sayed) University of Toronto

Source URL: tce.technion.ac.il

• Computer memory
• Parallel computing
• Data quality
• Fault-tolerant computer systems
• Apache Hadoop
• Apache Software Foundation
• Dynamic random-access memory
• Data corruption
• Soft error
• Hard disk drive
• Computer cluster
• DIMM

Beating the Hold-Out: Bounds for K-fold and Progressive Cross-Validation
Avrim Blum

Source URL: hunch.net

• Statistics
• Machine learning
• Learning
• Artificial intelligence
• Design of experiments
• Hypothesis testing
• Nonparametric statistics
• Stability
• Generalization error
• Cross-validation
• Random sample consensus
• Statistical hypothesis testing

Approximate Storage in Solid-State Memories Adrian Sampson Jacob Nelson University of Washington

Source URL: homes.cs.washington.edu

• Computing
• Multi-level cell
• Flash memory
• Soft error
• Dynamic random-access memory
• Phase-change memory
• Data corruption
• Error detection and correction
• Fragmentation
• Computer memory
• Computer hardware
• Non-volatile memory

Producing accurate standard errors is essential for both the scholarly research and official policy uses of the data because they indicate the precision of the estimates and the statistical significance of hypothesis tes

Source URL: international.ipums.org

• Sampling
• Econometrics
• Estimation theory
• Design effect
• Standard error
• Sample size determination
• Variance
• Random sample
• Heteroscedasticity-consistent standard errors
• Statistics
• Statistical inference
• Data analysis

IPUMS-International Working Paper: Drawing Statistical Inferences from International Census Data Lara L. Cleveland, Michael Davern, Steven Ruggles November 2011

Source URL: international.ipums.org

• Population
• Survey methodology
• Psychometrics
• IPUMS
• Standard error
• Census
• Sample size determination
• Random sample
• Stratified sampling
• Statistics
• Sampling
• Statistical inference

NBC News Online Survey: Public Opinion on Free Trade Embargoed for release after 12:00 NOON Tuesday, June 9, 2015 Why Obama’s Trade Proposal is a Tough Sell: Americans Want to Protect Jobs A majority of Americans suppo

Source URL: msnbcmedia.msn.com

• Random sample
• Weighted mean
• Confidence interval
• Survey methodology
• Standard deviation
• Margin of error
• Statistics
• Sampling
• Sample size determination

Uncertainty in Covariance Transfer Velocity Estimates: Effect of ΔpCO2 By C. Fairall and W. McGillis, April 2006 If we assume the error in transfer velocity is due to error in the covariance flux measurement only, then

Source URL: so-gasex.org

• Algebra of random variables
• Covariance
• Variance
• Standard deviation
• Flux
• Uncertainty
• Integral
• Kalman filter
• Statistics
• Data analysis
• Covariance and correlation