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198
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NPL
2002
168views more  NPL 2002»
15 years 6 months ago
Reduced Rank Kernel Ridge Regression
Ridge regression is a classical statistical technique that attempts to address the bias-variance trade-off in the design of linear regression models. A reformulation of ridge regr...
Gavin C. Cawley, Nicola L. C. Talbot
176
Voted
NOMS
2010
IEEE
173views Communications» more  NOMS 2010»
15 years 5 months ago
Dynamic resource allocation and power management in virtualized data centers
—We investigate optimal resource allocation and power management in virtualized data centers with time-varying workloads and heterogeneous applications. Prior work in this area u...
Rahul Urgaonkar, Ulas C. Kozat, Ken Igarashi, Mich...
ICDM
2010
IEEE
134views Data Mining» more  ICDM 2010»
15 years 4 months ago
Consequences of Variability in Classifier Performance Estimates
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla
166
Voted
JMLR
2010
92views more  JMLR 2010»
15 years 1 months ago
Posterior distributions are computable from predictive distributions
As we devise more complicated prior distributions, will inference algorithms keep up? We highlight a negative result in computable probability theory by Ackerman, Freer, and Roy (...
Cameron E. Freer, Daniel M. Roy
TIFS
2010
120views more  TIFS 2010»
15 years 1 months ago
Quantitative Structural Steganalysis of Jsteg
Quantitative steganalysis strives to estimate the change rate defined as the relative number of embedding changes introduced by steganography. In this paper, we propose two new cla...
Jan Kodovský, Jessica J. Fridrich