Prem Melville

According to our database, Prem Melville authored at least 33 papers between 2002 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Recommender Systems.

Prem Melville, Vikas Sindhwani

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

2013

Novel document detection for massive data streams using distributed dictionary learning.

Shiva Prasad Kasiviswanathan, Gao Cong, Prem Melville, Richard D. Lawrence

IBM J. Res. Dev., 2013

Amplifying the voice of youth in Africa via text analytics.

Prem Melville, Vijil Chenthamarakshan, Richard D. Lawrence, James Powell, Moses Mugisha, Sharad Sapra, Rajesh Anandan, Solomon Assefa

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Tax Collections Optimization for New York State.

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

Interfaces, 2012

Online L1-Dictionary Learning with Application to Novel Document Detection.

Shiva Prasad Kasiviswanathan, Huahua Wang, Arindam Banerjee, Prem Melville

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning to rank for robust question answering.

Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Supervised Rank Aggregation for Predicting Influence in Networks

Karthik Subbian, Prem Melville

CoRR, 2011

Supervised Rank Aggregation for Predicting Influencers in Twitter.

Karthik Subbian, Prem Melville

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Concept Labeling: Building Text Classifiers with Minimal Supervision.

Vijil Chenthamarakshan, Prem Melville, Vikas Sindhwani, Richard D. Lawrence

Proceedings of the IJCAI 2011, 2011

Emerging topic detection using dictionary learning.

Shiva Prasad Kasiviswanathan, Prem Melville, Arindam Banerjee, Vikas Sindhwani

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Recommender Systems.

Prem Melville, Vikas Sindhwani

Proceedings of the Encyclopedia of Machine Learning, 2010

Medical data mining: insights from winning two competitions.

Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu

Data Min. Knowl. Discov., 2010

A Unified Approach to Active Dual Supervision for Labeling Features and Examples.

Josh Attenberg, Prem Melville, Foster J. Provost

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Optimizing debt collections using constrained reinforcement learning.

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

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Active Feature-Value Acquisition.

Maytal Saar-Tsechansky, Prem Melville, Foster J. Provost

Manag. Sci., 2009

Winning the KDD Cup Orange Challenge with Ensemble Selection.

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

Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

Sentiment analysis of blogs by combining lexical knowledge with text classification.

Prem Melville, Wojciech Gryc, Richard D. Lawrence

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Uncertainty sampling and transductive experimental design for active dual supervision.

Vikas Sindhwani, Prem Melville, Richard D. Lawrence

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Breast cancer identification: KDD CUP winner's report.

Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset

SIGKDD Explor., 2008

Using predictive analysis to improve invoice-to-cash collection.

Sai Zeng, Prem Melville, Christian A. Lang, Ioana M. Boier-Martin, Conrad Murphy

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Customer targeting models using actively-selected web content.

Prem Melville, Saharon Rosset, Richard D. Lawrence

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Document-Word Co-regularization for Semi-supervised Sentiment Analysis.

Vikas Sindhwani, Prem Melville

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce.

Foster J. Provost, Prem Melville, Maytal Saar-Tsechansky

Proceedings of the 9th International Conference on Electronic Commerce: The Wireless World of Electronic Commerce, 2007

2005

Creating diversity in ensembles using artificial data.

Prem Melville, Raymond J. Mooney

Inf. Fusion, 2005

An Expected Utility Approach to Active Feature-Value Acquisition.

Prem Melville, Foster J. Provost, Raymond J. Mooney

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Combining Bias and Variance Reduction Techniques for Regression Trees.

Yuk Lai Suen, Prem Melville, Raymond J. Mooney

Proceedings of the Machine Learning: ECML 2005, 2005

Active Learning for Probability Estimation Using Jensen-Shannon Divergence.

Prem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond J. Mooney

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Experiments on Ensembles with Missing and Noisy Data.

Prem Melville, Nishit Shah, Lilyana Mihalkova, Raymond J. Mooney

Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Diverse ensembles for active learning.

Prem Melville, Raymond J. Mooney

Proceedings of the Machine Learning, 2004

Active Feature-Value Acquisition for Classifier Induction.

Prem Melville, Maytal Saar-Tsechansky, Foster J. Provost, Raymond J. Mooney

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003

Constructing Diverse Classifier Ensembles using Artificial Training Examples.

Prem Melville, Raymond J. Mooney

Proceedings of the IJCAI-03, 2003

2002

Natural Language Assistant: A Dialog System for Online Product Recommendation.

Joyce Yue Chai, Veronika Horvath, Nicolas Nicolov, Margo Stys, Nanda Kambhatla, Wlodek Zadrozny, Prem Melville

AI Mag., 2002

Content-Boosted Collaborative Filtering for Improved Recommendations.

Prem Melville, Raymond J. Mooney, Ramadass Nagarajan

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002