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NECO
2010
101views more  NECO 2010»
13 years 4 months ago
Large-Margin Classification in Infinite Neural Networks
We introduce a new family of positive-definite kernels for large margin classification in support vector machines (SVMs). These kernels mimic the computation in large neural netwo...
Youngmin Cho, Lawrence K. Saul
IEEEARES
2009
IEEE
14 years 4 months ago
Defeating Dynamic Data Kernel Rootkit Attacks via VMM-Based Guest-Transparent Monitoring
—Targeting the operating system kernel, the core of trust in a system, kernel rootkits are able to compromise the entire system, placing it under malicious control, while eluding...
Junghwan Rhee, Ryan Riley, Dongyan Xu, Xuxian Jian...
EMNLP
2009
13 years 7 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
ICIP
2003
IEEE
14 years 11 months ago
Histogram intersection kernel for image classification
In this paper we address the problem of classifying images, by exploiting global features that describe color and illumination properties, and by using the statistical learning pa...
Annalisa Barla, Francesca Odone, Alessandro Verri
MLDM
2007
Springer
14 years 4 months ago
Kernel MDL to Determine the Number of Clusters
In this paper we propose a new criterion, based on Minimum Description Length (MDL), to estimate an optimal number of clusters. This criterion, called Kernel MDL (KMDL), is particu...
Ivan O. Kyrgyzov, Olexiy O. Kyrgyzov, Henri Ma&ici...