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» Problems of learning in multi-agent systems
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CONEXT
2007
ACM
15 years 6 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
150
Voted
NCA
2007
IEEE
15 years 4 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
131
Voted
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 11 months ago
Learning motor primitives for robotics
— The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Motor primitives offer one of the most promising frameworks for the...
Jens Kober, Jan Peters
EUROMICRO
2000
IEEE
15 years 9 months ago
Supporting Cooperative Learning of Process Knowledge on the World Wide Web
The WWW makes learning materials widely accessible and provides an environment where people can learn across time and space. However, the simple read-only information structure on...
Weigang Wang, Jörg M. Haake, Jessica Rubart, ...
ECML
1998
Springer
15 years 8 months ago
Predicate Invention and Learning from Positive Examples Only
Previous bias shift approaches to predicate invention are not applicable to learning from positive examples only, if a complete hypothesis can be found in the given language, as ne...
Henrik Boström