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CCS
2009
ACM
14 years 2 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
TSMC
2010
13 years 2 months ago
Efficient Sensor Selection for Active Information Fusion
In our previous paper [1], we formalized an active information fusion framework based on dynamic Bayesian networks to provide active information fusion. This paper focuses on a ce...
Yongmian Zhang, Qiang Ji
ICDCS
2009
IEEE
13 years 5 months ago
Selective Protection: A Cost-Efficient Backup Scheme for Link State Routing
In recent years, there are substantial demands to reduce packet loss in the Internet. Among the schemes proposed, finding backup paths in advance is considered to be an effective ...
Meijia Hou, Dan Wang, Mingwei Xu, Jiahai Yang
ATAL
2009
Springer
14 years 2 months ago
Directed soft arc consistency in pseudo trees
We propose an efficient method that applies directed soft arc consistency to a Distributed Constraint Optimization Problem (DCOP) which is a fundamental framework of multi-agent ...
Toshihiro Matsui, Marius-Calin Silaghi, Katsutoshi...
AI
2009
Springer
14 years 2 months ago
Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Dirk Gorissen