Clayton Scott
Clayton Scott
Professor of Electrical Engineering and Computer Science, University of Michigan
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Robust kernel density estimation
JS Kim, CD Scott
The Journal of Machine Learning Research 13 (1), 2529-2565, 2012
2052012
Semi-supervised novelty detection
G Blanchard, G Lee, C Scott
The Journal of Machine Learning Research 11, 2973-3009, 2010
1832010
A Neyman-Pearson approach to statistical learning
C Scott, R Nowak
IEEE Transactions on Information Theory 51 (11), 3806-3819, 2005
1522005
Learning minimum volume sets
CD Scott, RD Nowak
Journal of Machine Learning Research 7 (Apr), 665-704, 2006
1502006
Classification with asymmetric label noise: Consistency and maximal denoising
C Scott, G Blanchard, G Handy
Conference On Learning Theory, 489-511, 2013
1272013
Minimax-optimal classification with dyadic decision trees
C Scott, RD Nowak
IEEE transactions on information theory 52 (4), 1335-1353, 2006
1182006
Mean values of Dedekind sums
JB Conrey, E Fransen, R Klein, C Scott
arXiv preprint math/9410212, 1994
1091994
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
1062012
Robust contour matching via the order-preserving assignment problem
C Scott, R Nowak
IEEE Transactions on Image Processing 15 (7), 1831-1838, 2006
1062006
Generalizing from several related classification tasks to a new unlabeled sample
G Blanchard, G Lee, C Scott
Advances in neural information processing systems, 2178-2186, 2011
862011
Distributed spatial anomaly detection
P Chhabra, C Scott, ED Kolaczyk, M Crovella
IEEE INFOCOM 2008-The 27th Conference on Computer Communications, 1705-1713, 2008
852008
Performance measures for Neyman–Pearson classification
C Scott
IEEE Transactions on Information Theory 53 (8), 2852-2863, 2007
772007
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
722010
Mixture proportion estimation via kernel embeddings of distributions
H Ramaswamy, C Scott, A Tewari
International conference on machine learning, 2052-2060, 2016
712016
A rate of convergence for mixture proportion estimation, with application to learning from noisy labels
C Scott
Artificial Intelligence and Statistics, 838-846, 2015
712015
Adaptive hausdorff estimation of density level sets
A Singh, C Scott, R Nowak
The Annals of Statistics 37 (5B), 2760-2782, 2009
692009
Controlling false alarms with support vector machines
MA Davenport, RG Baraniuk, CD Scott
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
622006
Calibrated asymmetric surrogate losses
C Scott
Electronic Journal of Statistics 6, 958-992, 2012
592012
The value of defibrillator electrograms for recognition of clinical ventricular tachycardias and for pace mapping of post-infarction ventricular tachycardia
K Yoshida, TY Liu, C Scott, A Hero, M Yokokawa, S Gupta, E Good, ...
Journal of the American College of Cardiology 56 (12), 969-979, 2010
592010
Novelty detection: Unlabeled data definitely help
C Scott, G Blanchard
Artificial intelligence and statistics, 464-471, 2009
592009
The system can't perform the operation now. Try again later.
Articles 1–20