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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 10 months ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
CRIWG
2007
15 years 7 months ago
Deployment of Ontologies for an Effective Design of Collaborative Learning Scenarios
Two of the most important research subjects during the development of intelligent authoring systems (IAS) for education are the modeling of knowledge and the extraction of knowledg...
Seiji Isotani, Riichiro Mizoguchi
ICDAR
2009
IEEE
16 years 28 days ago
Fast Incremental Learning Strategy Driven by Confusion Reject for Online Handwriting Recognition
In this paper, we present a new incremental learning strategy for handwritten character recognition systems. This learning strategy enables the recognition system to learn “rapi...
Abdullah Almaksour, Éric Anquetil
ICRA
2008
IEEE
128views Robotics» more  ICRA 2008»
16 years 19 days ago
Learning from human teachers with Socially Guided Exploration
— We present a learning mechanism, Socially Guided Exploration, in which a robot learns new tasks through a combination of self-exploration and social interaction. The system’s...
Cynthia Breazeal, Andrea Lockerd Thomaz
CBMS
2006
IEEE
16 years 7 days ago
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen...