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Maytal Saar-Tsechansky

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2008
10EEGary M. Weiss, Bianca Zadrozny, Maytal Saar-Tsechansky: Guest editorial: special issue on utility-based data mining. Data Min. Knowl. Discov. 17(2): 129-135 (2008)
2007
9EEFoster J. Provost, Prem Melville, Maytal Saar-Tsechansky: Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce. ICEC 2007: 389-398
2006
8EEDavid Pardoe, Peter Stone, Maytal Saar-Tsechansky, Kerem Tomak: Adaptive mechanism design: a metalearning approach. ICEC 2006: 92-102
7EEBianca Zadrozny, Gary M. Weiss, Maytal Saar-Tsechansky: UBDM 2006: Utility-Based Data Mining 2006 workshop report. SIGKDD Explorations 8(2): 98-101 (2006)
2005
6EEPrem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond J. Mooney: Active Learning for Probability Estimation Using Jensen-Shannon Divergence. ECML 2005: 268-279
5EEGary M. Weiss, Maytal Saar-Tsechansky, Bianca Zadrozny: Report on UBDM-05: Workshop on Utility-Based Data Mining. SIGKDD Explorations 7(2): 145-147 (2005)
2004
4EEPrem Melville, Maytal Saar-Tsechansky, Foster J. Provost, Raymond J. Mooney: Active Feature-Value Acquisition for Classifier Induction. ICDM 2004: 483-486
3EEMaytal Saar-Tsechansky, Foster J. Provost: Active Sampling for Class Probability Estimation and Ranking. Machine Learning 54(2): 153-178 (2004)
2001
2EEMaytal Saar-Tsechansky, Nava Pliskin, Gadi Rabinowitz, Mark Tsechansky: Patterns Extraction for Monitoring Medical Practices. HICSS 2001
1 Maytal Saar-Tsechansky, Foster J. Provost: Active Learning for Class Probability Estimation and Ranking. IJCAI 2001: 911-920

Coauthor Index

1Prem Melville [4] [6] [9]
2Raymond J. Mooney [4] [6]
3David Pardoe [8]
4Nava Pliskin [2]
5Foster J. Provost [1] [3] [4] [9]
6Gadi Rabinowitz [2]
7Peter Stone [8]
8Kerem Tomak [8]
9Mark Tsechansky [2]
10Gary M. Weiss [5] [7] [10]
11Stewart M. Yang [6]
12Bianca Zadrozny [5] [7] [10]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)