Computer Science – Learning
Scientist
Computer Science
Learning
Scientist
Department of Electrical Engineering and Computer Science, University of Michigan
Active Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault Identification in Large Scale, Noisy Networks
Adaptive Hausdorff estimation of density level sets
Calibrated Surrogate Losses for Classification with Label-Dependent Costs
Euxinia in the Proterozoic ocean, trace metal abundances, and the potential impacts on life
Group-based Query Learning for rapid diagnosis in time-critical situations
No associations
LandOfFree
Clayton Scott does not yet have a rating. At this time, there are no reviews or comments for this scientist.
If you have personal experience with Clayton Scott, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Clayton Scott will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-P-139551