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CSDA
2006
304views more  CSDA 2006»
13 years 7 months ago
Using principal components for estimating logistic regression with high-dimensional multicollinear data
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
Ana M. Aguilera, Manuel Escabias, Mariano J. Valde...
CORR
2010
Springer
43views Education» more  CORR 2010»
13 years 8 months ago
Exact Localization and Superresolution with Noisy Data and Random Illumination
This paper studies the problem of exact localization of multiple objects with noisy data. The crux of the proposed approach consists of random illumination. Two recovery methods ar...
Albert Fannjiang
CORR
2006
Springer
127views Education» more  CORR 2006»
13 years 7 months ago
Approximating Rate-Distortion Graphs of Individual Data: Experiments in Lossy Compression and Denoising
Classical rate-distortion theory requires knowledge of an elusive source distribution. Instead, we analyze rate-distortion properties of individual objects using the recently devel...
Steven de Rooij, Paul M. B. Vitányi
NSDI
2010
13 years 9 months ago
Volley: Automated Data Placement for Geo-Distributed Cloud Services
: As cloud services grow to span more and more globally distributed datacenters, there is an increasingly urgent need for automated mechanisms to place application data across thes...
Sharad Agarwal, John Dunagan, Navendu Jain, Stefan...
HPCA
2006
IEEE
14 years 8 months ago
Completely verifying memory consistency of test program executions
An important means of validating the design of commercial-grade shared memory multiprocessors is to run a large number of pseudo-random test programs on them. However, when intent...
Chaiyasit Manovit, Sudheendra Hangal