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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 8 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
CIA
2007
Springer
15 years 8 months ago
High-Performance Agent System for Intrusion Detection in Backbone Networks
Abstract. This paper presents a design of high-performance agentbased intrusion detection system designed for deployment on high-speed network links. To match the speed requirement...
Martin Rehák, Michal Pechoucek, Pavel Celed...
118
Voted
JMLR
2010
195views more  JMLR 2010»
15 years 5 days ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
PKDD
2010
Springer
153views Data Mining» more  PKDD 2010»
14 years 11 months ago
A Robustness Measure of Association Rules
Abstract. We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only be...
Yannick Le Bras, Patrick Meyer, Philippe Lenca, St...
ESORICS
2009
Springer
16 years 2 months ago
Secure Evaluation of Private Linear Branching Programs with Medical Applications
Abstract. Diagnostic and classification algorithms play an important role in data analysis, with applications in areas such as health care, fault diagnostics, or benchmarking. Bran...
Mauro Barni, Pierluigi Failla, Vladimir Kolesnikov...
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