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ECML
2006
Springer
15 years 1 months 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
15 years 1 months 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
15 years 1 months 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
15 years 1 months 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
15 years 1 months 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, ...