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Ted Markowitz
Ted Markowitz
Practitioner-in-Residence in Computer Science Dept., U. of New Haven
Verified email at newhaven.edu - Homepage
Title
Cited by
Cited by
Year
Method and apparatus for dynamic rule and/or offer generation
R Mueller, A Van Luchene, J Heier, C Amorossi, S Krishna, T Markowitz
US Patent App. 09/993,228, 2003
792003
Method and apparatus for dynamic rule and/or offer generation
R Mueller, A Van Luchene, J Heier, C Amorossi, S Krishna, T Markowitz
US Patent App. 11/456,289, 2006
782006
Method and apparatus for dynamic rule and/or offer generation
R Mueller, A Van Luchene, J Heier, C Amorossi, S Krishna, T Markowitz
US Patent App. 11/456,293, 2006
592006
Fast Uncertainty Sampling for Labeling Large E-mail Corpora.
RB Segal, T Markowitz, W Arnold
CEAS, 2006
362006
An empirical evaluation of active learning and selective sampling variations supporting large corpus labeling
TJ Markowitz
Pace University, 2011
12011
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Articles 1–5