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» Missing Data Estimation Using Polynomial Kernels
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INFOCOM
2006
IEEE
15 years 6 months ago
The Internet Dark Matter - on the Missing Links in the AS Connectivity Map
Abstract— The topological structure of the Internet infrastructure is an important and interesting subject that attracted significant research attention in the last few years. A...
Rami Cohen, Danny Raz
114
Voted
MLCW
2005
Springer
15 years 6 months ago
Estimating Predictive Variances with Kernel Ridge Regression
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chap...
CORR
2011
Springer
158views Education» more  CORR 2011»
14 years 7 months ago
Polynomial Estimators for High Frequency Moments
We present an algorithm for computing Fp, the pth moment of an n-dimensional frequency vector of a data stream, for p > 2, to within 1 ± factors, ∈ (0, 1] with high constant...
Sumit Ganguly
112
Voted
ALT
2004
Springer
15 years 9 months ago
On Kernels, Margins, and Low-Dimensional Mappings
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
Maria-Florina Balcan, Avrim Blum, Santosh Vempala
94
Voted
CCS
2009
ACM
15 years 7 months ago
Robust signatures for kernel data structures
Kernel-mode rootkits hide objects such as processes and threads using a technique known as Direct Kernel Object Manipulation (DKOM). Many forensic analysis tools attempt to detect...
Brendan Dolan-Gavitt, Abhinav Srivastava, Patrick ...