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» Kernels for Semi-Structured Data
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EUROSYS
2010
ACM
14 years 6 months ago
Otherworld - Giving Applications a Chance to Survive OS Kernel Crashes
We propose a mechanism that allows applications to survive operating system kernel crashes and continue functioning with no application data loss after a system reboot. This mecha...
Alex Depoutovitch, Michael Stumm
ICANN
2005
Springer
14 years 2 months ago
Smooth Bayesian Kernel Machines
Abstract. In this paper, we consider the possibility of obtaining a kernel machine that is sparse in feature space and smooth in output space. Smooth in output space implies that t...
Rutger W. ter Borg, Léon J. M. Rothkrantz
EUROSYS
2010
ACM
14 years 2 months ago
Otherworld: giving applications a chance to survive OS kernel crashes
In this paper, we present a mechanism that allows applications to survive operating system kernel crashes and continue functioning with no application data loss after a system reb...
Alex Depoutovitch, Michael Stumm
ADMA
2005
Springer
134views Data Mining» more  ADMA 2005»
13 years 11 months ago
An LZ78 Based String Kernel
We develop the notion of normalized information distance (NID) [7] into a kernel distance suitable for use with a Support Vector Machine classifier, and demonstrate its use for an...
Ming Li, Ronan Sleep
IPPS
2008
IEEE
14 years 3 months ago
On the representation and multiplication of hypersparse matrices
Multicore processors are marking the beginning of a new era of computing where massive parallelism is available and necessary. Slightly slower but easy to parallelize kernels are ...
Aydin Buluç, John R. Gilbert