Prem Melville

34 papers A* 12A 2C 1Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2017 — ch.
Recommender Systems.
Encyclopedia of Machine Learning and Data Mining
Prem Melville, Vikas Sindhwani
2013 A* conf
Amplifying the voice of youth in Africa via text analytics.
KDD
Prem Melville, Vijil Chenthamarakshan, Richard D. Lawrence, James Powell, Moses Mugisha, Sharad Sapra, Rajesh Anandan, Solomon Assefa
2013 J jnl
Novel document detection for massive data streams using distributed dictionary learning.
IBM J. Res. Dev.
Shiva Prasad Kasiviswanathan, Gao Cong, Prem Melville, Richard D. Lawrence
2012 A conf
Learning to rank for robust question answering.
CIKM
Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan
2012 — conf
Online L1-Dictionary Learning with Application to Novel Document Detection.
NIPS
Shiva Prasad Kasiviswanathan, Huahua Wang, Arindam Banerjee, Prem Melville
2012 J jnl
Tax Collections Optimization for New York State.
Interfaces
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
2011 A* conf
Concept Labeling: Building Text Classifiers with Minimal Supervision.
IJCAI
Vijil Chenthamarakshan, Prem Melville, Vikas Sindhwani, Richard D. Lawrence
2011 A conf
Emerging topic detection using dictionary learning.
CIKM
Shiva Prasad Kasiviswanathan, Prem Melville, Arindam Banerjee, Vikas Sindhwani
2011 J jnl
Supervised Rank Aggregation for Predicting Influence in Networks
CoRR
Karthik Subbian, Prem Melville
2011 — conf
Supervised Rank Aggregation for Predicting Influencers in Twitter.
SocialCom/PASSAT
Karthik Subbian, Prem Melville
2010 — conf
A Unified Approach to Active Dual Supervision for Labeling Features and Examples.
ECML/PKDD (1)
Josh Attenberg, Prem Melville, Foster J. Provost
2010 J jnl
Medical data mining: insights from winning two competitions.
Data Min. Knowl. Discov.
Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu
2010 A* conf
Optimizing debt collections using constrained reinforcement learning.
KDD
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K. Reddy, David L. Jensen, Vince P. Thomas, James J. Bennett, Gary F. Anderson, Brent R. Cooley, Melissa Kowalczyk, Mark Domick, Timothy Gardinier
2010 — ed.
Proceedings of the First Workshop on Social Media Analytics, SOMA@KDD 2010, Washington, DC, USA, July 25, 2010
SOMA@KDD
Prem Melville, Jure Leskovec, Foster J. Provost
2010 — ch.
Recommender Systems.
Encyclopedia of Machine Learning
Prem Melville, Vikas Sindhwani
2009 J jnl
Active Feature-Value Acquisition.
Manag. Sci.
Maytal Saar-Tsechansky, Prem Melville, Foster J. Provost
2009 A* conf
Sentiment analysis of blogs by combining lexical knowledge with text classification.
KDD
Prem Melville, Wojciech Gryc, Richard D. Lawrence
2009 A* conf
Uncertainty sampling and transductive experimental design for active dual supervision.
ICML
Vikas Sindhwani, Prem Melville, Richard D. Lawrence
2009 — conf
Winning the KDD Cup Orange Challenge with Ensemble Selection.
KDD Cup
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
2008 J jnl
Breast cancer identification: KDD CUP winner's report.
SIGKDD Explor.
Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset
2008 A* conf
Customer targeting models using actively-selected web content.
KDD
Prem Melville, Saharon Rosset, Richard D. Lawrence
2008 A* conf
Document-Word Co-regularization for Semi-supervised Sentiment Analysis.
ICDM
Vikas Sindhwani, Prem Melville
2008 A* conf
Using predictive analysis to improve invoice-to-cash collection.
KDD
Sai Zeng, Prem Melville, Christian A. Lang, Ioana M. Boier-Martin, Conrad Murphy
2007 C conf
Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce.
ICEC
Foster J. Provost, Prem Melville, Maytal Saar-Tsechansky
2005 — conf
Active Learning for Probability Estimation Using Jensen-Shannon Divergence.
ECML
Prem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond J. Mooney
2005 A* conf
An Expected Utility Approach to Active Feature-Value Acquisition.
ICDM
Prem Melville, Foster J. Provost, Raymond J. Mooney
2005 — conf
Combining Bias and Variance Reduction Techniques for Regression Trees.
ECML
Yuk Lai Suen, Prem Melville, Raymond J. Mooney
2005 J jnl
Creating diversity in ensembles using artificial data.
Inf. Fusion
Prem Melville, Raymond J. Mooney
2004 A* conf
Active Feature-Value Acquisition for Classifier Induction.
ICDM
Prem Melville, Maytal Saar-Tsechansky, Foster J. Provost, Raymond J. Mooney
2004 A* conf
Diverse ensembles for active learning.
ICML
Prem Melville, Raymond J. Mooney
2004 — conf
Experiments on Ensembles with Missing and Noisy Data.
Multiple Classifier Systems
Prem Melville, Nishit Shah, Lilyana Mihalkova, Raymond J. Mooney
2003 A* conf
Constructing Diverse Classifier Ensembles using Artificial Training Examples.
IJCAI
Prem Melville, Raymond J. Mooney
2002 — conf
Content-Boosted Collaborative Filtering for Improved Recommendations.
AAAI/IAAI
Prem Melville, Raymond J. Mooney, Ramadass Nagarajan
2002 J jnl
Natural Language Assistant: A Dialog System for Online Product Recommendation.
AI Mag.
Joyce Yue Chai, Veronika Horvath, Nicolas Nicolov, Margo Stys, Nanda Kambhatla, Wlodek Zadrozny, Prem Melville