팔로우
Clayton Scott
Clayton Scott
Professor of Electrical Engineering and Computer Science, University of Michigan
umich.edu의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
Generalizing from several related classification tasks to a new unlabeled sample
G Blanchard, G Lee, C Scott
Advances in neural information processing systems 24, 2011
4162011
Robust kernel density estimation
JS Kim, CD Scott
The Journal of Machine Learning Research 13 (1), 2529-2565, 2012
4132012
Semi-supervised novelty detection
G Blanchard, G Lee, C Scott
The Journal of Machine Learning Research 11, 2973-3009, 2010
3082010
Classification with asymmetric label noise: Consistency and maximal denoising
C Scott, G Blanchard, G Handy
Conference on learning theory, 489-511, 2013
2212013
Domain generalization by marginal transfer learning
G Blanchard, AA Deshmukh, U Dogan, G Lee, C Scott
Journal of machine learning research 22 (2), 1-55, 2021
2172021
A Neyman-Pearson approach to statistical learning
C Scott, R Nowak
IEEE Transactions on Information Theory 51 (11), 3806-3819, 2005
2032005
Mixture proportion estimation via kernel embeddings of distributions
H Ramaswamy, C Scott, A Tewari
International conference on machine learning, 2052-2060, 2016
1942016
Learning minimum volume sets
C Scott, R Nowak
Advances in neural information processing systems 18, 2005
1772005
A rate of convergence for mixture proportion estimation, with application to learning from noisy labels
C Scott
Artificial Intelligence and Statistics, 838-846, 2015
1672015
EM algorithms for multivariate Gaussian mixture models with truncated and censored data
G Lee, C Scott
Computational Statistics & Data Analysis 56 (9), 2816-2829, 2012
1662012
Minimax-optimal classification with dyadic decision trees
C Scott, RD Nowak
IEEE transactions on information theory 52 (4), 1335-1353, 2006
1512006
Mean values of Dedekind sums
JB Conrey, E Fransen, R Klein, C Scott
arXiv preprint math/9410212, 1994
1291994
Robust contour matching via the order-preserving assignment problem
C Scott, R Nowak
IEEE Transactions on Image Processing 15 (7), 1831-1838, 2006
1202006
Performance measures for Neyman–Pearson classification
C Scott
IEEE Transactions on Information Theory 53 (8), 2852-2863, 2007
1042007
Adaptive hausdorff estimation of density level sets
A Singh, C Scott, R Nowak
962009
Distributed spatial anomaly detection
P Chhabra, C Scott, ED Kolaczyk, M Crovella
IEEE INFOCOM 2008-The 27th Conference on Computer Communications, 1705-1713, 2008
962008
Calibrated asymmetric surrogate losses
C Scott
942012
Multi-task learning for contextual bandits
AA Deshmukh, U Dogan, C Scott
Advances in neural information processing systems 30, 2017
862017
Tuning support vector machines for minimax and Neyman-Pearson classification
MA Davenport, RG Baraniuk, CD Scott
IEEE transactions on pattern analysis and machine intelligence 32 (10), 1888 …, 2010
832010
Novelty detection: Unlabeled data definitely help
C Scott, G Blanchard
Artificial intelligence and statistics, 464-471, 2009
832009
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–20