Maytal Saar-Tsechansky Papers on DiSC'06 Economical Active Feature-value Acquisition through Expected Utility Estimation Report on UBDM-05: Workshop on Utility-Based Data Mining Publications Note: Links lead to the DBLP on the Web. Maytal Saar-Tsechansky Prem Melville , Stewart M. Yang , Maytal Saar-Tsechansky, Raymond J. Mooney : Active Learning for Probability Estimation Using Jensen-Shannon Divergence. ECML 2005 : 268-279 Gary Weiss , Maytal Saar-Tsechansky, Bianca Zadrozny : Report on UBDM-05: Workshop on Utility-Based Data Mining. SIGKDD Explorations 7 (2): 145-147 (2005) Prem Melville , Maytal Saar-Tsechansky, Foster J. Provost , Raymond J. Mooney : Active Feature-Value Acquisition for Classifier Induction. ICDM 2004 : 483-486 Maytal Saar-Tsechansky, Foster J. Provost : Active Sampling for Class Probability Estimation and Ranking. Machine Learning 54 (2): 153-178 (2004) Maytal Saar-Tsechansky, Nava Pliskin , Gadi Rabinowitz , Mark Tsechansky : Patterns Extraction for Monitoring Medical Practices. HICSS 2001 Maytal Saar-Tsechansky, Foster J. Provost : Active Learning for Class Probability Estimation and Ranking. IJCAI 2001 : 911-920 1 [ 4 ] [ 6 ] 2 [ 4 ] [ 6 ] 3 [ 2 ] 4 [ 1 ] [ 3 ] [ 4 ] 5 [ 2 ] 6 [ 2 ] 7 [ 5 ] 8 [ 6 ] 9 [ 5 ] ©2006 Association for Computing Machinery