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Prem Melville
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2010 – 2019
- 2017
- [r2]Prem Melville, Vikas Sindhwani:
Recommender Systems. Encyclopedia of Machine Learning and Data Mining 2017: 1056-1066 - 2013
- [j7]Shiva Prasad Kasiviswanathan, Gao Cong, Prem Melville, Richard D. Lawrence:
Novel document detection for massive data streams using distributed dictionary learning. IBM J. Res. Dev. 57(3/4): 9 (2013) - [c23]Prem Melville, Vijil Chenthamarakshan, Richard D. Lawrence, James Powell, Moses Mugisha, Sharad Sapra, Rajesh Anandan, Solomon Assefa:
Amplifying the voice of youth in Africa via text analytics. KDD 2013: 1204-1212 - 2012
- [j6]Gerard Miller, Melissa Weatherwax, Timothy Gardinier, Naoki Abe, Prem Melville, Cezar Pendus, David L. Jensen, Chandan K. Reddy
, Vince P. Thomas, James J. Bennett, Gary F. Anderson, Brent R. Cooley:
Tax Collections Optimization for New York State. Interfaces 42(1): 74-84 (2012) - [c22]Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan:
Learning to rank for robust question answering. CIKM 2012: 833-842 - [c21]Shiva Prasad Kasiviswanathan, Huahua Wang, Arindam Banerjee, Prem Melville:
Online L1-Dictionary Learning with Application to Novel Document Detection. NIPS 2012: 2267-2275 - 2011
- [c20]Shiva Prasad Kasiviswanathan, Prem Melville, Arindam Banerjee, Vikas Sindhwani:
Emerging topic detection using dictionary learning. CIKM 2011: 745-754 - [c19]Vijil Chenthamarakshan, Prem Melville, Vikas Sindhwani, Richard D. Lawrence:
Concept Labeling: Building Text Classifiers with Minimal Supervision. IJCAI 2011: 1225-1230 - [c18]Karthik Subbian, Prem Melville:
Supervised Rank Aggregation for Predicting Influencers in Twitter. SocialCom/PASSAT 2011: 661-665 - [i1]Karthik Subbian, Prem Melville:
Supervised Rank Aggregation for Predicting Influence in Networks. CoRR abs/1108.4801 (2011) - 2010
- [j5]Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu:
Medical data mining: insights from winning two competitions. Data Min. Knowl. Discov. 20(3): 439-468 (2010) - [c17]Naoki Abe, Prem Melville, Cezar Pendus, Chandan K. Reddy
Optimizing debt collections using constrained reinforcement learning. KDD 2010: 75-84 - [c16]Josh Attenberg, Prem Melville, Foster J. Provost:
A Unified Approach to Active Dual Supervision for Labeling Features and Examples. ECML/PKDD (1) 2010: 40-55 - [e1]Prem Melville, Jure Leskovec, Foster J. Provost:
Proceedings of the First Workshop on Social Media Analytics, SOMA@KDD 2010, Washington, DC, USA, July 25, 2010. ACM 2010, ISBN 978-1-4503-0217-3 [contents] - [r1]Prem Melville, Vikas Sindhwani:
Recommender Systems. Encyclopedia of Machine Learning 2010: 829-838
2000 – 2009
- 2009
- [j4]Maytal Saar-Tsechansky, Prem Melville, Foster J. Provost:
Active Feature-Value Acquisition. Manag. Sci. 55(4): 664-684 (2009) - [c15]Vikas Sindhwani, Prem Melville, Richard D. Lawrence:
Uncertainty sampling and transductive experimental design for active dual supervision. ICML 2009: 953-960 - [c14]Prem Melville, Wojciech Gryc, Richard D. Lawrence:
Sentiment analysis of blogs by combining lexical knowledge with text classification. KDD 2009: 1275-1284 - [c13]Alexandru Niculescu-Mizil, Claudia Perlich, Grzegorz Swirszcz, Vikas Sindhwani, Yan Liu, Prem Melville, Dong Wang, Jing Xiao, Jianying Hu, Moninder Singh, Wei Xiong Shang, Yanfeng Zhu:
Winning the KDD Cup Orange Challenge with Ensemble Selection. KDD Cup 2009: 23-34 - 2008
- [j3]Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset:
Breast cancer identification: KDD CUP winner's report. SIGKDD Explor. 10(2): 39-42 (2008) - [c12]Vikas Sindhwani, Prem Melville:
Document-Word Co-regularization for Semi-supervised Sentiment Analysis. ICDM 2008: 1025-1030 - [c11]Prem Melville, Saharon Rosset, Richard D. Lawrence:
Customer targeting models using actively-selected web content. KDD 2008: 946-953 - [c10]Sai Zeng, Prem Melville, Christian A. Lang, Ioana M. Boier-Martin, Conrad Murphy:
Using predictive analysis to improve invoice-to-cash collection. KDD 2008: 1043-1050 - 2007
- [c9]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
- [j2]Prem Melville, Raymond J. Mooney:
Creating diversity in ensembles using artificial data. Inf. Fusion 6(1): 99-111 (2005) - [c8]Prem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond J. Mooney:
Active Learning for Probability Estimation Using Jensen-Shannon Divergence. ECML 2005: 268-279 - [c7]Yuk Lai Suen, Prem Melville, Raymond J. Mooney:
Combining Bias and Variance Reduction Techniques for Regression Trees. ECML 2005: 741-749 - [c6]Prem Melville, Foster J. Provost, Raymond J. Mooney:
An Expected Utility Approach to Active Feature-Value Acquisition. ICDM 2005: 745-748 - 2004
- [c5]Prem Melville, Maytal Saar-Tsechansky, Foster J. Provost, Raymond J. Mooney:
Active Feature-Value Acquisition for Classifier Induction. ICDM 2004: 483-486 - [c4]Prem Melville, Raymond J. Mooney:
Diverse ensembles for active learning. ICML 2004 - [c3]Prem Melville, Nishit Shah, Lilyana Mihalkova, Raymond J. Mooney:
Experiments on Ensembles with Missing and Noisy Data. Multiple Classifier Systems 2004: 293-302 - 2003
- [c2]Prem Melville, Raymond J. Mooney:
Constructing Diverse Classifier Ensembles using Artificial Training Examples. IJCAI 2003: 505-512 - 2002
- [j1]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 Mag. 23(2): 63-76 (2002) - [c1]Prem Melville, Raymond J. Mooney, Ramadass Nagarajan:
Content-Boosted Collaborative Filtering for Improved Recommendations. AAAI/IAAI 2002: 187-192
Coauthor Index
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