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» Kernels for Semi-Structured Data
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SOSP
2005
ACM
14 years 7 months ago
Mondrix: memory isolation for linux using mondriaan memory protection
This paper presents the design and an evaluation of Mondrix, a version of the Linux kernel with Mondriaan Memory Protection (MMP). MMP is a combination of hardware and software th...
Emmett Witchel, Junghwan Rhee, Krste Asanovic
ML
2008
ACM
110views Machine Learning» more  ML 2008»
13 years 8 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
IDA
2007
Springer
14 years 4 months ago
DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation
The Denclue algorithm employs a cluster model based on kernel density estimation. A cluster is defined by a local maximum of the estimated density function. Data points are assign...
Alexander Hinneburg, Hans-Henning Gabriel
BMCBI
2010
118views more  BMCBI 2010»
13 years 10 months ago
Walk-weighted subsequence kernels for protein-protein interaction extraction
Background: The construction of interaction networks between proteins is central to understanding the underlying biological processes. However, since many useful relations are exc...
Seonho Kim, Juntae Yoon, Jihoon Yang, Seog Park
DIMVA
2009
13 years 11 months ago
Polymorphing Software by Randomizing Data Structure Layout
Abstract. This paper introduces a new software polymorphism technique that randomizes program data structure layout. This technique will generate different data structure layouts f...
Zhiqiang Lin, Ryan Riley, Dongyan Xu