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» A Theory for Memory-Based Learning
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CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
15 years 5 months ago
Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
AAMAS
2008
Springer
15 years 5 months ago
Agents that argue and explain classifications
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent/incomplete/uncertain knowledge, based on the construction and the comparison of ar...
Leila Amgoud, Mathieu Serrurier
CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 5 months ago
Dendritic Cells for Anomaly Detection
Artificial immune systems, more specifically the negative selection algorithm, have previously been applied to intrusion detection. The aim of this research is to develop an intrus...
Julie Greensmith, Jamie Twycross, Uwe Aickelin
CORR
2010
Springer
124views Education» more  CORR 2010»
15 years 5 months ago
Mimicking the Behaviour of Idiotypic AIS Robot Controllers Using Probabilistic Systems
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Gar...
CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 5 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh