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» Kernels for Semi-Structured Data
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106
Voted
TRUST
2010
Springer
15 years 5 months ago
Beyond Kernel-Level Integrity Measurement: Enabling Remote Attestation for the Android Platform
Abstract. Increasing adoption of smartphones in recent times has begun to attract more and more malware writers towards these devices. Among the most prominent and widely adopted o...
Mohammad Nauman, Sohail Khan, Xinwen Zhang, Jean-P...
94
Voted
ICML
2004
IEEE
16 years 1 months ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
110
Voted
ICML
2007
IEEE
16 years 1 months ago
Dimensionality reduction and generalization
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
Sofia Mosci, Lorenzo Rosasco, Alessandro Verri
106
Voted
ICML
2005
IEEE
16 years 1 months ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...
IJCNN
2006
IEEE
15 years 6 months ago
Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm
— Recent work has revealed a close connection between certain information theoretic divergence measures and properties of Mercer kernel feature spaces. Specifically, it has been...
Robert Jenssen, Deniz Erdogmus, Jose C. Principe