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KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 4 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
CHI
2008
ACM
15 years 4 months ago
Introducing item response theory for measuring usability inspection processes
Usability evaluation methods have a long history of research. Latest contributions significantly raised the validity of method evaluation studies. But there is still a measurement...
Martin Schmettow, Wolfgang Vietze
GLVLSI
2007
IEEE
158views VLSI» more  GLVLSI 2007»
15 years 4 months ago
RT-level vector selection for realistic peak power simulation
We present a vector selection methodology for estimating the peak power dissipation in a CMOS logic circuit. The ultimate goal is to combine the speed of RT-level simulation with ...
Chia-Chien Weng, Ching-Shang Yang, Shi-Yu Huang
110
Voted
AAAI
2010
15 years 3 months ago
G-Optimal Design with Laplacian Regularization
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...
IJCAI
2007
15 years 3 months ago
Learning to Walk through Imitation
Programming a humanoid robot to walk is a challenging problem in robotics. Traditional approaches rely heavily on prior knowledge of the robot's physical parameters to devise...
Rawichote Chalodhorn, David B. Grimes, Keith Groch...
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