Prem Melville

发表

Social Media Analytics: Channeling the Power of the Blogosphere for Marketing Insight

Prem Melville, 2009 .

Content-boosted collaborative filtering for improved recommendations

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

Active Feature-Value Acquisition

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

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).

Optimizing debt collections using constrained reinforcement learning

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

Radial Basis Function Neural Networks

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

Appears in Proceedings of the SIGIR-2001 Workshop on Recommender Systems , New Orleans , LA , September 2001 Content-Boosted Collaborative Filtering

R. Mooney, Prem Melville, R. Nagarajan, 2001 .

Novel Document Detection using Online L 1-Dictionary Learning

A. Banerjee, S. Kasiviswanathan, Prem Melville, 2012 .

Chapter 1 Selective Data Acquisition for Machine Learning

Josh Attenberg, M. Saar-Tsechansky, Prem Melville, 2010 .

Learning Blog Sentiment with Reduced Supervision

Richard D. Lawrence, Claudia Perlich, Prem Melville, 2008 .

Incorporating Background Knowledge into Text Categorization for Improved Sentiment Analysis

Richard D. Lawrence, I. Watson, Prem Melville, 2008 .

Machine Learning for Social Media Analytics

Richard D. Lawrence, V. Sindhwani, Claudia Perlich, 2009 .

Algorithm 1 : Active Feature-value Acquisition for Clustering

Prem Melville, Duy Vu, 2007 .

Active Information Acquisition for Improved Clustering

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

Receiver Operating Characteristic Analysis

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

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

Random Decision Forests

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

Radial Basis Function Neural Networks

Russ Tedrake, V. Sindhwani, R. Miikkulainen, 2010, Encyclopedia of Machine Learning.

Recommender Systems

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

Novel document detection for massive data streams using distributed dictionary learning

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

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

Arindam Banerjee, Prem Melville, Huahua Wang, 2012 .

Emerging topic detection using dictionary learning

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

Medical data mining: insights from winning two competitions

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

Customer targeting models using actively-selected web content

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

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

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

Creating diverse ensemble classifiers to reduce supervision

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

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).

Active Learning for Probability Estimation Using Jensen-Shannon Divergence

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

Relational Data Mining with Inductive Logic Programming for Link Discovery

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

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

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

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.

Economical active feature-value acquisition through Expected Utility estimation

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

Creating Diverse Ensemble Classifiers

Prem Melville, Prem Melville, 2003 .

Creating diversity in ensembles using artificial data

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

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

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

Data Quality from Crowdsourcing: A Study of Annotation Selection Criteria

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

Diverse ensembles for active learning

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

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

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

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

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

Recommender Systems

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

Sentiment analysis of blogs by combining lexical knowledge with text classification

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

Rotation Forests

Russ Tedrake, R. Miikkulainen, Eric Wiewiora, 2010, Encyclopedia of Machine Learning.

Breast cancer identification: KDD CUP winner's report

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

Winner's Report: KDD CUP Breast Cancer Identification

Yan Liu, Saharon Rosset, Prem Melville, 2008 .

Rank Correlation

Eyke Hüllermeier, Johannes Fürnkranz, Russ Tedrake, 2010, Encyclopedia of Machine Learning and Data Mining.

Learning to rank for robust question answering

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

Experiments on Ensembles with Missing and Noisy Data

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

Concept Labeling: Building Text Classifiers with Minimal Supervision

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

Representation Language

Russ Tedrake, R. Miikkulainen, Eric Wiewiora, 2010, Encyclopedia of Machine Learning.

Tax Collections Optimization for New York State

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

Selective Data Acquisition for Machine Learning Saar-Tsechansky

Foster Provost, Prem Melville, Josh Attenberg, 2011 .

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

Foster Provost, Prem Melville, Josh Attenberg, 2010 .

Integrating Data Modeling and Dynamic Optimization using Constrained Reinforcement Learning

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

Resubstitution Estimate

Russ Tedrake, R. Miikkulainen, Eric Wiewiora, 2010, Encyclopedia of Machine Learning.

R Recommender Systems Motivation and Background

Prem Melville, Vikas Sindhwani, 2010 .

Peter A. Flach, Wray L. Buntine, Russ Tedrake, 2010, Encyclopedia of Machine Learning.

Supervised Rank Aggregation for Predicting Influencers in Twitter

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