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 | 77 | 2004 |
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 | 46 | 2002 |
Backstop: a tool for debugging runtime errors C Murphy, E Kim, G Kaiser, A Cannon ACM SIGCSE Bulletin 40 (1), 173-177, 2008 | 28 | 2008 |
Approximate distance classification AH Cannon, LJ Cowen, CE Priebe Computing Science and Statistics, 544-549, 1998 | 16 | 1998 |
Simple classifiers A Cannon, J Howse, D Hush, C Scovel | 13 | 2003 |
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 | 10 | 2011 |
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 | 8 | 2001 |
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 | 5 | 2012 |
Multiple instance learning using simple classifiers A Cannon, D Hush 2004 International Conference on Machine Learning and Applications, 2004 …, 2004 | 3 | 2004 |
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 | 2 | 2013 |
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 | 1 | 2020 |
Backstop C Murphy, E Kim, G Kaiser, A Cannon Association for Computing Machinery, 2008 | 1 | 2008 |
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 | 1 | 2003 |
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 | | |