Philip Long
Philip Long
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Breast cancer classification and prognosis based on gene expression profiles from a population-based study
C Sotiriou, SY Neo, LM McShane, EL Korn, PM Long, A Jazaeri, P Martiat, ...
Proceedings of the National Academy of Sciences 100 (18), 10393-10398, 2003
Comparative full-length genome sequence analysis of 14 SARS coronavirus isolates and common mutations associated with putative origins of infection
YJ Ruan, CL Wei, AE Ling, VB Vega, H Thoreau, SYS Thoe, JM Chia, ...
The Lancet 361 (9371), 1779-1785, 2003
Benign overfitting in linear regression
PL Bartlett, PM Long, G Lugosi, A Tsigler
Proceedings of the National Academy of Sciences 117 (48), 30063-30070, 2020
Comment on"'Stemness': transcriptional profiling of embryonic and adult stem cells" and" a stem cell molecular signature"(I)
NO Fortunel, HH Otu, HH Ng, J Chen, X Mu, T Chevassut, X Li, M Joseph, ...
Science 302 (5644), 393-393, 2003
Random classification noise defeats all convex potential boosters
PM Long, RA Servedio
Proceedings of the 25th international conference on Machine learning, 608-615, 2008
Performance guarantees for hierarchical clustering
S Dasgupta, PM Long
Journal of Computer and System Sciences 70 (4), 555-569, 2005
The relaxed online maximum margin algorithm
Y Li, P Long
Advances in neural information processing systems 12, 1999
Tracking drifting concepts by minimizing disagreements
DP Helmbold, PM Long
Machine learning 14, 27-45, 1994
Worst-case quadratic loss bounds for prediction using linear functions and gradient descent
N Cesa-Bianchi, PM Long, MK Warmuth
IEEE Transactions on Neural Networks 7 (3), 604-619, 1996
Reinforcement learning with immediate rewards and linear hypotheses
N Abe, AW Biermann, PM Long
Algorithmica 37, 263-293, 2003
Optimal gene expression analysis by microarrays
LD Miller, PM Long, L Wong, S Mukherjee, LM McShane, ET Liu
Cancer cell 2 (5), 353-361, 2002
Fat-shattering and the learnability of real-valued functions
PL Bartlett, PM Long, RC Williamson
Proceedings of the seventh annual conference on Computational learning …, 1994
Molecular changes from dysplastic nodule to hepatocellular carcinoma through gene expression profiling
SW Nam, JY Park, A Ramasamy, S Shevade, A Islam, PM Long, CK Park, ...
Hepatology 42 (4), 809-818, 2005
Improved bounds on the sample complexity of learning
Y Li, PM Long, A Srinivasan
Journal of Computer and System Sciences 62 (3), 516-527, 2001
On the difficulty of approximately maximizing agreements
S Ben-David, N Eiron, PM Long
Journal of Computer and System Sciences 66 (3), 496-514, 2003
The power of localization for efficiently learning linear separators with noise
P Awasthi, MF Balcan, PM Long
Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014
The singular values of convolutional layers
H Sedghi, V Gupta, PM Long
arXiv preprint arXiv:1805.10408, 2018
Characterizations of Learnability for Classes of {0,..., n}-Valued Functions
S Bendavid, N Cesabianchi, D Haussler, PM Long
Journal of Computer and System Sciences 50 (1), 74-86, 1995
Active and passive learning of linear separators under log-concave distributions
MF Balcan, P Long
Conference on Learning Theory, 288-316, 2013
Adaptive disk spindown via optimal rent-to-buy in probabilistic environments
P Krishnan, P Long, J Vitter
Proceedings of the 12th International Conference on Machine Learning, 322-330, 1995
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