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» Electronic case studies: a problem-based learning approach
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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 5 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
IJCAI
2007
15 years 3 months ago
Towards Reasoning about the Past in Neural-symbolic Systems
Reasoning about the past is of fundamental importance in several applications in computer science and artificial intelligence, including reactive systems and planning. In this pa...
Rafael V. Borges, Luís C. Lamb, Artur S. d'...
ECIS
2003
15 years 3 months ago
Towards work-integrated learning communities
In this paper we raise the concept of Work-Integrated Learning (WIL) as a means of supporting activities of competence development and learning in organisations. In order to illus...
Ulrika Lundh Snis, Lars Svensson, Christian Ö...
UIST
2005
ACM
15 years 7 months ago
Preference elicitation for interface optimization
Decision-theoretic optimization is becoming a popular tool in the user interface community, but creating accurate cost (or utility) functions has become a bottleneck — in most c...
Krzysztof Gajos, Daniel S. Weld
ASPDAC
2008
ACM
103views Hardware» more  ASPDAC 2008»
15 years 3 months ago
Reliability-aware design for nanometer-scale devices
Continuous transistor scaling due to improvements in CMOS devices and manufacturing technologies is increasing processor power densities and temperatures; thus, creating challenges...
David Atienza, Giovanni De Micheli, Luca Benini, J...