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» Minimal Kernel Classifiers
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COLING
2002
14 years 9 months ago
Learning Verb Argument Structure from Minimally Annotated Corpora
In this paper we investigate the task of automatically identifying the correct argument structure for a set of verbs. The argument structure of a verb allows us to predict the rel...
Anoop Sarkar, Woottiporn Tripasai
ICML
2008
IEEE
15 years 10 months ago
Robust matching and recognition using context-dependent kernels
The success of kernel methods including support vector machines (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to han...
Hichem Sahbi, Jean-Yves Audibert, Jaonary Rabariso...
ICASSP
2009
IEEE
15 years 4 months ago
Space Kernel Analysis
In this paper, we propose a novel nonparametric modeling technique, namely Space Kernel Analysis (SKA), as a result of the definition of the space kernel. We analyze the uncertai...
Liuling Gong, Dan Schonfeld
ACSAC
2010
IEEE
14 years 7 months ago
Analyzing and improving Linux kernel memory protection: a model checking approach
Code injection continues to pose a serious threat to computer systems. Among existing solutions, W X is a notable approach to prevent the execution of injected code. In this paper...
Siarhei Liakh, Michael C. Grace, Xuxian Jiang
BMCBI
2011
14 years 4 months ago
NClassG+: A classifier for non-classically secreted Gram-positive bacterial proteins
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
Daniel Restrepo-Montoya, Camilo Pino, Luis F. Ni&n...