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» Toward Scenario Adaptation for Learning
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IADIS
2004
13 years 8 months ago
SPERO - A Personalized Integrated E-Learning System
One of the most important topics in modern Internet-based multimedia e-learning systems oriented towards teachers, students and learners in general, is the treatment of informatio...
Paraskevi K. Tzouveli, Phivos Mylonas, Stefanos D....
CEC
2010
IEEE
13 years 7 months ago
Exploring the Kuramoto model of coupled oscillators in minimally cognitive evolutionary robotics tasks
— This work is the first attempt to investigate the neural dynamics of a simulated robotic agent engaged in minimally cognitive tasks by employing evolved instances of the Kuram...
Renan C. Moioli, Patrícia Amâncio Var...
CEC
2010
IEEE
13 years 8 months ago
Iterated local search vs. hyper-heuristics: Towards general-purpose search algorithms
An important challenge within hyper-heuristic research is to design search methodologies that work well, not only across different instances of the same problem, but also across di...
Edmund K. Burke, Timothy Curtois, Matthew R. Hyde,...
ICML
2001
IEEE
14 years 8 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
PERVASIVE
2010
Springer
14 years 1 months ago
On the Use of Brain Decoded Signals for Online User Adaptive Gesture Recognition Systems
Activity and context recognition in pervasive and wearable computing ought to continuously adapt to changes typical of open-ended scenarios, such as changing users, sensor characte...
Kilian Förster, Andrea Biasiucci, Ricardo Cha...