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Adam Cannon
Adam Cannon
Computer Science, Columbia University
Verified email at cs.columbia.edu - Homepage
Title
Cited by
Cited by
Year
Learning with the Neyman-Pearson and min-max criteria
A Cannon, J Howse, D Hush, C Scovel
Los Alamos National Laboratory, Tech. Rep. LA-UR, 02-2951, 2002
88*2002
Approximation algorithms for the class cover problem
AH Cannon, LJ Cowen
Annals of Mathematics and Artificial Intelligence 40, 215-223, 2004
772004
Machine learning with data dependent hypothesis classes
A Cannon, JM Ettinger, D Hush, C Scovel
The Journal of Machine Learning Research 2, 335-358, 2002
462002
Backstop: a tool for debugging runtime errors
C Murphy, E Kim, G Kaiser, A Cannon
ACM SIGCSE Bulletin 40 (1), 173-177, 2008
282008
Approximate distance classification
AH Cannon, LJ Cowen, CE Priebe
Computing Science and Statistics, 544-549, 1998
161998
Simple classifiers
A Cannon, J Howse, D Hush, C Scovel
132003
Lessons learned from a PLTL-CS program
C Murphy, R Powell, K Parton, A Cannon
Proceedings of the 42nd ACM technical symposium on Computer science …, 2011
102011
Learning from examples: From theory to practice
DR Hush, JC Scovel, PM Kelly, JW Howse, ML Fugate, A Cannon
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2001
82001
Emerging scholars program–A PLTL-CS program that increases recruitment and retention of women in the major
RM Powell, C Murphy, A Cannon, J Gordon, A Ramachandran
University of Pennsylvania Department of Computer and Information Science …, 2012
52012
Multiple instance learning using simple classifiers
A Cannon, D Hush
2004 International Conference on Machine Learning and Applications, 2004 …, 2004
32004
Evaluation of the emerging scholars program at Columbia University
RM Powell, C Murphy, A Cannon, J Gordon, A Ramachandran
Proceeding of the 44th ACM technical symposium on Computer science education …, 2013
22013
Cs principles curriculum framework updates for 2020
C Furman, A Cannon, E Johnson, P Tymann
Proceedings of the 51st ACM Technical Symposium on Computer Science …, 2020
12020
Backstop
C Murphy, E Kim, G Kaiser, A Cannon
Association for Computing Machinery, 2008
12008
Simple classifiers from data dependent hypothesis classes
A Cannon, JW Howse, DR Hush, JC Scovel
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2003
12003
National Laboratory
A Cannon, J Howse, D Hush, C Scovel
2003
Approximate distance methods in classification
AH Cannon
The Johns Hopkins University, 2001
2001
Approximation algorithms for the class cover problem
A Cannon, L Cowen
6th International Symposium on Artificial Intelligence and Mathematics 2000, 2000
2000
Attracting More Women to the CS Major Using a Peer-Led Team Learning Program
RM Powell, C Murphy, A Cannon, J Gordon, A Ramachandran
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