| 2007 |
|---|
| 11 | EE | Foster J. Provost,
Prem Melville,
Maytal Saar-Tsechansky:
Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce.
ICEC 2007: 389-398 |
| 2005 |
|---|
| 10 | EE | Prem Melville,
Stewart M. Yang,
Maytal Saar-Tsechansky,
Raymond J. Mooney:
Active Learning for Probability Estimation Using Jensen-Shannon Divergence.
ECML 2005: 268-279 |
| 9 | EE | Yuk Lai Suen,
Prem Melville,
Raymond J. Mooney:
Combining Bias and Variance Reduction Techniques for Regression Trees.
ECML 2005: 741-749 |
| 8 | EE | Prem Melville,
Foster J. Provost,
Raymond J. Mooney:
An Expected Utility Approach to Active Feature-Value Acquisition.
ICDM 2005: 745-748 |
| 7 | EE | Prem Melville,
Raymond J. Mooney:
Creating diversity in ensembles using artificial data.
Information Fusion 6(1): 99-111 (2005) |
| 2004 |
|---|
| 6 | EE | Prem Melville,
Maytal Saar-Tsechansky,
Foster J. Provost,
Raymond J. Mooney:
Active Feature-Value Acquisition for Classifier Induction.
ICDM 2004: 483-486 |
| 5 | EE | Prem Melville,
Raymond J. Mooney:
Diverse ensembles for active learning.
ICML 2004 |
| 4 | EE | Prem Melville,
Nishit Shah,
Lilyana Mihalkova,
Raymond J. Mooney:
Experiments on Ensembles with Missing and Noisy Data.
Multiple Classifier Systems 2004: 293-302 |
| 2003 |
|---|
| 3 | | Prem Melville,
Raymond J. Mooney:
Constructing Diverse Classifier Ensembles using Artificial Training Examples.
IJCAI 2003: 505-512 |
| 2002 |
|---|
| 2 | | Prem Melville,
Raymond J. Mooney,
Ramadass Nagarajan:
Content-Boosted Collaborative Filtering for Improved Recommendations.
AAAI/IAAI 2002: 187-192 |
| 1 | | Joyce Yue Chai,
Veronika Horvath,
Nicolas Nicolov,
Margo Stys,
Nanda Kambhatla,
Wlodek Zadrozny,
Prem Melville:
Natural Language Assistant: A Dialog System for Online Product Recommendation.
AI Magazine 23(2): 63-76 (2002) |
