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Adam Cannon

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affiliation: Columbia University, New York City. USA

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Journal Articles

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2004
[j2]
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Adam Cannon, Lenore Cowen:
Approximation Algorithms for the Class Cover Problem. Ann. Math. Artif. Intell. 40(3-4): 215-224 (2004)
2002
[j1]
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Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint Scovel:
Machine Learning with Data Dependent Hypothesis Classes. J. Mach. Learn. Res. 2: 335-358 (2002)

Conference and Workshop Papers

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2020
[c6]
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Crystal Furman, Adam Cannon, Elizabeth Johnson, Paul Tymann:
CS Principles Curriculum Framework Updates for 2020. SIGCSE 2020: 1264-1265
2013
[c5]
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  - conf/sigcse/PowellMCGR13
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Rita Manco Powell, Christian Murphy, Adam Cannon, Joshua B. Gordon, Arthi Ramachandran:
Evaluation of the emerging scholars program at Columbia University (abstract only). SIGCSE 2013: 731
2011
[c4]
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Christian Murphy, Rita Manco Powell, Kristen Parton, Adam Cannon:
Lessons learned from a PLTL-CS program. SIGCSE 2011: 207-212
2008
[c3]
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  - conf/sigcse/MurphyKKC08
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Christian Murphy, Eunhee Kim, Gail E. Kaiser, Adam Cannon:
Backstop: a tool for debugging runtime errors. SIGCSE 2008: 173-177
2004
[c2]
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Adam Cannon, Don R. Hush:
Multiple instance learning using simple classifiers. ICMLA 2004: 123-128
2000
[c1]
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  - electronic edition @ rutgers.edu (archived)
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Adam Cannon, Lenore Cowen:
Approximation Algorithms for the Class Cover Problem. AI&M 2000

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