Richard D. Lawrence - researchr alias

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Viewing Publication 1 - 30 from 30

2015

A general framework for predictive tensor modeling with domain knowledgeYada Zhu, Jingrui He, Richard D. Lawrence. datamine, 29(6):1709-1732, 2015. [doi]

2013

2012

Learning to rank for robust question answeringArvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan. CIKM 2012: 833-842 [doi]

2011

2010

ALPOS: A Machine Learning Approach for Analyzing Microblogging DataDan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan. icdm 2010: 1265-1272 [doi]

2009

Graph-based transfer learningJingrui He, Yan Liu, Richard D. Lawrence. CIKM 2009: 937-946 [doi]

Sentiment analysis of blogs by combining lexical knowledge with text classificationPrem Melville, Wojciech Gryc, Richard D. Lawrence. kdd 2009: 1275-1284 [doi]

Uncertainty sampling and transductive experimental design for active dual supervisionVikas Sindhwani, Prem Melville, Richard D. Lawrence. icml 2009: 120 [doi]

2008

2007

2006

Data-Enhanced Predictive Modeling for Sales TargetingSaharon Rosset, Richard D. Lawrence. sdm 2006: 569-573 [doi]

2003

Passenger-based predictive modeling of airline no-show ratesRichard D. Lawrence, Se June Hong, Jacques Cherrier. kdd 2003: 397-406 [doi]

2002

Applications of flexible pricing in business-to-business electronic commerceMartin Bichler, Jayant Kalagnanam, Kaan Katircioglu, Alan J. King, Richard D. Lawrence, Ho Soo Lee, Grace Y. Lin, Yingdong Lu. IBMSJ, 41(2):287-302, 2002. [doi]

2001

Personalization of Supermarket Product RecommendationsRichard D. Lawrence, George S. Almasi, Vladimir Kotlyar, Marisa S. Viveros, Sastry Duri. datamine, 5(1/2):11-32, 2001.

2000

Java programming for high-performance numerical computingJosé E. Moreira, Samuel P. Midkiff, Manish Gupta, Pedro V. Artigas, Marc Snir, Richard D. Lawrence. IBMSJ, 39(1):21, 2000. [doi]

1999

A Case Study in Information Delivery to Mass Retail MarketsVladimir Kotlyar, Marisa S. Viveros, Sastry Duri, Richard D. Lawrence, George S. Almasi. DEXA 1999: 842-851 [doi]

A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining ProblemsRichard D. Lawrence, George S. Almasi, Holly E. Rushmeier. datamine, 3(2):171-195, 1999.

1997

Visualizing customer segmentations produce by self organizing maps (case study)Holly E. Rushmeier, Richard D. Lawrence, George S. Almasi. visualization 1997: 463-466 [doi]

1994

The IBM External User Interface for Scalable Parallel SystemsVasanth Bala, Jehoshua Bruck, Raymond Bryant, Robert Cypher, Peter de Jong, Pablo Elustondo, Daniel D. Frye, Alex Ho, Ching-Tien Ho, Gail Irwin, Shlomo Kipnis, Richard D. Lawrence, Marc Snir. pc, 20(4):445-462, 1994.

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