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
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
Machine learning 78 (3), 287-304, 2010
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, PM Long
Machine Learning 46 (1), 361-387, 2002
Tracking drifting concepts by minimizing disagreements
DP Helmbold, PM Long
Machine learning 14 (1), 27-45, 1994
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
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
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
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
Fat-shattering and the learnability of real-valued functions
PL Bartlett, PM Long, RC Williamson
journal of computer and system sciences 52 (3), 434-452, 1996
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
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
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
Reinforcement learning with immediate rewards and linear hypotheses
N Abe, AW Biermann, PM Long
Algorithmica 37 (4), 263-293, 2003
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
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
PAC learning axis-aligned rectangles with respect to product distributions from multiple-instance examples
PM Long, L Tan
Machine Learning 30 (1), 7-21, 1998
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