Prem Melville

发表

An expected utility approach to active feature-value acquisition

Foster J. Provost, Raymond J. Mooney, Prem Melville, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Creating Diverse Ensemble Classifiers

Prem Melville, Prem Melville, 2003 .

Natural Language Assistant: A Dialog System for Online Product Recommendation

Wlodek Zadrozny, Joyce Yue Chai, Nanda Kambhatla, 2002, AI Mag..

Recommender Systems

Vikas Sindhwani, Prem Melville, V. Sindhwani, 2017, Encyclopedia of Machine Learning and Data Mining.

Diverse ensembles for active learning

Raymond J. Mooney, Prem Melville, R. Mooney, 2004, ICML.

Guided Feature Labeling for Budget-Sensitive Learning Under Extreme Class Imbalance

Foster Provost, Prem Melville, Josh Attenberg, 2010 .

Experiments on Ensembles with Missing and Noisy Data

Raymond J. Mooney, Nishit Shah, Prem Melville, 2004, Multiple Classifier Systems.

Risto Miikkulainen, Johannes Fürnkranz, Jun Morimoto, 2010, Encyclopedia of Machine Learning.

Amplifying the voice of youth in Africa via text analytics

Vijil Chenthamarakshan, Prem Melville, Solomon Assefa, 2013, KDD.

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

Foster J. Provost, Prem Melville, Josh Attenberg, 2010, ECML/PKDD.

Sentiment analysis of blogs by combining lexical knowledge with text classification

Prem Melville, Richard D. Lawrence, Wojciech Gryc, 2009, KDD.

Combining Bias and Variance Reduction Techniques for Regression Trees

Raymond J. Mooney, Yuk Lai Suen, Prem Melville, 2005, ECML.

Constructing Diverse Classifier Ensembles using Artificial Training Examples

Raymond J. Mooney, Prem Melville, R. Mooney, 2003, IJCAI.

Concept Labeling: Building Text Classifiers with Minimal Supervision

Vikas Sindhwani, Vijil Chenthamarakshan, Prem Melville, 2011, IJCAI.

Random Decision Forests

Risto Miikkulainen, Johannes Fürnkranz, Jun Morimoto, 2010, Encyclopedia of Machine Learning.

Using predictive analysis to improve invoice-to-cash collection

Christian A. Lang, Sai Zeng, Ioana M. Boier-Martin, 2008, KDD.

Novel document detection for massive data streams using distributed dictionary learning

Gao Cong, Prem Melville, Shiva Prasad Kasiviswanathan, 2013, IBM J. Res. Dev..

Active feature-value acquisition for classifier induction

Foster J. Provost, Raymond J. Mooney, Maytal Saar-Tsechansky, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Winning the KDD Cup Orange Challenge with Ensemble Selection

Jianying Hu, Vikas Sindhwani, Yan Liu, 2009, KDD Cup.

Integrating Data Modeling and Dynamic Optimization using Constrained Reinforcement Learning

David L. Jensen, Chandan K. Reddy, Prem Melville, 2008 .

Receiver Operating Characteristic Analysis

Risto Miikkulainen, Johannes Fürnkranz, Luís Torgo, 2010, Encyclopedia of Machine Learning.

Selective Data Acquisition for Machine Learning Saar-Tsechansky

Foster Provost, Prem Melville, Josh Attenberg, 2011 .

Recommender Systems

Vikas Sindhwani, Prem Melville, V. Sindhwani, 2010, Encyclopedia of Machine Learning and Data Mining.

Optimizing debt collections using constrained reinforcement learning

Naoki Abe, David L. Jensen, Chandan K. Reddy, 2010, KDD.

Tax Collections Optimization for New York State

Naoki Abe, David L. Jensen, Chandan K. Reddy, 2012, Interfaces.

Active Learning for Probability Estimation Using Jensen-Shannon Divergence

Raymond J. Mooney, Maytal Saar-Tsechansky, Prem Melville, 2005, ECML.

Active Feature-Value Acquisition

Foster J. Provost, Maytal Saar-Tsechansky, Prem Melville, 2009, Manag. Sci..

Proceedings of the First Workshop on Social Media Analytics

Jure Leskovec, Foster Provost, Prem Melville, 2010, KDD 2010.

Breast cancer identification: KDD CUP winner's report

Yan Liu, Saharon Rosset, Grzegorz Swirszcz, 2008, SKDD.

Creating diversity in ensembles using artificial data

Raymond J. Mooney, Prem Melville, R. Mooney, 2005, Inf. Fusion.

Intelligent information acquisition for improved clustering

Maytal Saar-Tsechansky, Prem Melville, Mikhail Bilenko, 2007 .

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

Vikas Sindhwani, Prem Melville, V. Sindhwani, 2008, 2008 Eighth IEEE International Conference on Data Mining.

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

Foster J. Provost, Maytal Saar-Tsechansky, Prem Melville, 2007, ICEC.

Learning to rank for robust question answering

James Fan, Hema Raghavan, David Gondek, 2012, CIKM.

Active Dual Supervision: Reducing the Cost of Annotating Examples and Features

Vikas Sindhwani, Prem Melville, V. Sindhwani, 2009, HLT-NAACL 2009.

Finding New Customers Using Unstructured and Structured Data

Yan Liu, Prem Melville, Richard D. Lawrence, 2007 .

Supervised Rank Aggregation for Predicting Influencers in Twitter

Prem Melville, Karthik Subbian, 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

Online (cid:96) 1 -Dictionary Learning with Application to Novel Document Detection

Arindam Banerjee, Prem Melville, Huahua Wang, 2012 .

Medical data mining: insights from winning two competitions

Yan Liu, Saharon Rosset, Grzegorz Swirszcz, 2010, Data Mining and Knowledge Discovery.

Content-boosted collaborative filtering for improved recommendations

Raymond J. Mooney, Prem Melville, Ramadass Nagarajan, 2002, AAAI/IAAI.

Radial Basis Function Neural Networks

Risto Miikkulainen, Johannes Fürnkranz, Jun Morimoto, 2010, Encyclopedia of Machine Learning.

Data Quality from Crowdsourcing: A Study of Annotation Selection Criteria

Vikas Sindhwani, Prem Melville, Pei-Yun Hsueh, 2009, HLT-NAACL 2009.

Relational Data Mining with Inductive Logic Programming for Link Discovery

Raymond J. Mooney, Vítor Santos Costa, Jude Shavlik, 2002 .

Customer targeting models using actively-selected web content

Saharon Rosset, Prem Melville, Richard D. Lawrence, 2008, KDD.

SOCIAL MEDIA ANALYTICS

Vikas Sindhwani, Prem Melville, Claudia Perlich, 2010 .

IBM IPAM RIPS 2010 Program Topic Detection and Causal Influence in Microblogs

Vikas Sindhwani, Aurelie C. Lozano, Prem Melville, 2010 .

Economical active feature-value acquisition through Expected Utility estimation

Maytal Saar-Tsechansky, Foster Provost, Prem Melville, 2005, UBDM '05.

Uncertainty sampling and transductive experimental design for active dual supervision

Vikas Sindhwani, Prem Melville, Richard D. Lawrence, 2009, ICML '09.

Creating diverse ensemble classifiers to reduce supervision

Raymond J. Mooney, Prem Melville, R. Mooney, 2005 .

Emerging topic detection using dictionary learning

Vikas Sindhwani, Arindam Banerjee, Prem Melville, 2011, CIKM '11.

Supervised Rank Aggregation for Predicting Influence in Networks pdf

Prem Melville, Karthik Subbian, 2011, ArXiv.

A machine-learning approach to discovering company home pages

Prem Melville, Richard D. Lawrence, Wojciech Gryc, 2010, 4th IEEE International Conference on Digital Ecosystems and Technologies.

Active Feature Acquisition for Classifier Induction

Prem Melville, Raymond Mooney, 2010 .

Predictive modeling for collections of accounts receivable

Christian A. Lang, Sai Zeng, Prem Melville, 2007, DDDM '07.

Active Information Acquisition for Improved Clustering

Prem Melville, Mikhail Bilenko, M. Bilenko, 2007 .

A Predictive Perspective on Measures of Influence in Networks

Prem Melville, Claudia Perlich, Karthik Subbian, 2010 .

Winner's Report: KDD CUP Breast Cancer Identification

Yan Liu, Saharon Rosset, Prem Melville, 2008 .