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» Learning Rule Representations from Boolean Data
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ICNC
2005
Springer
15 years 6 months ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...
71
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AAAI
2004
15 years 1 months ago
Learning Indexing Patterns from One Language for the Benefit of Others
Using language technology for text analysis and light-weight ontologies as a content-mediating level, we acquire indexing patterns from vast amounts of indexing data for Englishla...
Udo Hahn, Kornél G. Markó, Stefan Sc...
FUIN
2008
108views more  FUIN 2008»
15 years 16 days ago
Radial View of Continuous Cellular Automata
Continuous cellular automata (or coupled map lattices) are cellular automata where the state of the cells are real values in [0, 1] and the local transition rule is a real function...
Paola Flocchini, Vladimir Cezar
NEUROSCIENCE
2001
Springer
15 years 5 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
91
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ATAL
2009
Springer
15 years 7 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...