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FORTE
2008
13 years 10 months ago
Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning
Network-based fuzz testing has become an effective mechanism to ensure the security and reliability of communication protocol systems. However, fuzz testing is still conducted in a...
Guoqiang Shu, Yating Hsu, David Lee
ESANN
2007
13 years 10 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
ICALT
2005
IEEE
14 years 2 months ago
Application of the UML in Modeling SCORM-Conformant Contents
Up to date, there is no standardized notation scheme for modeling SCORM-conformant contents. It is a time-consuming process to build up a new and widely-acceptable notation scheme...
Shueh-Cheng Hu
JMLR
2010
152views more  JMLR 2010»
13 years 3 months ago
The SHOGUN Machine Learning Toolbox
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Sören Sonnenburg, Gunnar Rätsch, Sebasti...
BCSHCI
2008
13 years 10 months ago
Human-centric framework for perceptually adaptive interfaces
Multimodal interfaces have long held the promise of enhanced and effective human machine interaction. The ultimate goal of multimodal interfaces is to facilitate human activity al...
Priyamvada Tripathi