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ECML
2006
Springer
14 years 12 days ago
Fisher Kernels for Relational Data
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
Uwe Dick, Kristian Kersting
ECML
2006
Springer
14 years 12 days ago
Active Learning with Irrelevant Examples
Abstract. Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there ma...
Dominic Mazzoni, Kiri Wagstaff, Michael C. Burl
ECML
2006
Springer
14 years 12 days ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
EMSOFT
2006
Springer
14 years 11 days ago
Mixing signals and modes in synchronous data-flow systems
Synchronous data-flow languages such as Scade/Lustre manage infinite sequences, or streams, as primitive values making them naturally adapted to the description of datadominated s...
Jean-Louis Colaço, Grégoire Hamon, M...
ESORICS
2006
Springer
14 years 11 days ago
Towards an Information-Theoretic Framework for Analyzing Intrusion Detection Systems
IDS research still needs to strengthen mathematical foundations and theoretic guidelines. In this paper, we build a formal framework, based on information theory, for analyzing and...
Guofei Gu, Prahlad Fogla, David Dagon, Wenke Lee, ...