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» Kernels for Semi-Structured Data
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99
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EUROSYS
2009
ACM
15 years 10 months ago
Ksplice: automatic rebootless kernel updates
Ksplice allows system administrators to apply patches to their operating system kernels without rebooting. Unlike previous hot update systems, Ksplice operates at the object code ...
Jeff Arnold, M. Frans Kaashoek
WASA
2009
Springer
141views Algorithms» more  WASA 2009»
15 years 7 months ago
Design and Implementation of Davis Social Links OSN Kernel
Social network popularity continues to rise as they broaden out to more users. Hidden away within these social networks is a valuable set of data that outlines everyone’s relatio...
Thomas Tran, Kelcey Chan, Shaozhi Ye, Prantik Bhat...
107
Voted
JMLR
2010
119views more  JMLR 2010»
14 years 7 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun
94
Voted
ALT
2008
Springer
15 years 9 months ago
Nonparametric Independence Tests: Space Partitioning and Kernel Approaches
Abstract. Three simple and explicit procedures for testing the independence of two multi-dimensional random variables are described. Two of the associated test statistics (L1, log-...
Arthur Gretton, László Györfi
ICCV
2005
IEEE
15 years 6 months ago
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...