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GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 10 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
MICCAI
2005
Springer
16 years 7 months ago
Intravascular Ultrasound-Based Imaging of Vasa Vasorum for the Detection of Vulnerable Atherosclerotic Plaque
Vulnerable plaques are dangerous atherosclerotic lesions that bear a high risk of complications that can lead to heart attacks and strokes. These plaques are known to be chronicall...
Sean M. O'Malley, Manolis Vavuranakis, Morteza Nag...
CHI
2005
ACM
16 years 7 months ago
Annotating 3D electronic books
The importance of annotations, as a by-product of the reading activity, cannot be overstated. Annotations help users in the process of analyzing, re-reading, and recalling detaile...
Lichan Hong, Ed Huai-hsin Chi, Stuart K. Card
HPCA
2003
IEEE
16 years 7 months ago
A Statistically Rigorous Approach for Improving Simulation Methodology
Due to cost, time, and flexibility constraints, simulators are often used to explore the design space when developing a new processor architecture, as well as when evaluating the ...
Joshua J. Yi, David J. Lilja, Douglas M. Hawkins
RECOMB
2005
Springer
16 years 7 months ago
Likely Scenarios of Intron Evolution
Whether common ancestors of eukaryotes and prokaryotes had introns is one of the oldest unanswered questions in molecular evolution. Recently completed genome sequences have been u...
Miklós Csürös