Richard D. Lawrence

According to our database, Richard D. Lawrence authored at least 30 papers between 1994 and 2015.

Collaborative distances:

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

2015

A general framework for predictive tensor modeling with domain knowledge.

Yada Zhu, Jingrui He, Richard D. Lawrence

Data Min. Knowl. Discov., 2015

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

MI2LS: multi-instance learning from multiple informationsources.

Dan Zhang, Jingrui He, Richard D. Lawrence

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

MILEAGE: Multiple Instance LEArning with Global Embedding.

Dan Zhang, Jingrui He, Luo Si, Richard D. Lawrence

Proceedings of the 30th International Conference on Machine Learning, 2013

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

Extracting insights from social media with large-scale matrix approximations.

Vikas Sindhwani, Amol Ghoting, Edison Ting, Richard D. Lawrence

IBM J. Res. Dev., 2011

Multiple Instance Learning on Structured Data.

Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Multi-view transfer learning with a large margin approach.

Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Concept Labeling: Building Text Classifiers with Minimal Supervision.

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

Proceedings of the IJCAI 2011, 2011

Transfer Latent Semantic Learning: Microblog Mining with Less Supervision.

Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

ALPOS: A Machine Learning Approach for Analyzing Microblogging Data.

Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan

Proceedings of the ICDMW 2010, 2010

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

Graph-based transfer learning.

Jingrui He, Yan Liu, Richard D. Lawrence

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 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

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

Graph-Based Rare Category Detection.

Jingrui He, Yan Liu, Richard D. Lawrence

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

2007

Analytics-driven solutions for customer targeting and sales-force allocation.

Richard D. Lawrence, Claudia Perlich, Saharon Rosset, Jorge Arroyo, Matthew Callahan, J. Matthew Collins, Alexey Ershov, Sheri Feinzig, Ildar Khabibrakhmanov, Shilpa Mahatma, Mark Niemaszyk, Sholom M. Weiss

IBM Syst. J., 2007

High-quantile modeling for customer wallet estimation and other applications.

Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Looking for Great Ideas: Analyzing the Innovation Jam.

Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan K. Reddy, Saharon Rosset

Proceedings of the Advances in Web Mining and Web Usage Analysis, 2007

2006

Data-Enhanced Predictive Modeling for Sales Targeting.

Saharon Rosset, Richard D. Lawrence

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

2003

Passenger-based predictive modeling of airline no-show rates.

Richard D. Lawrence, Se June Hong, Jacques Cherrier

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002

Applications of flexible pricing in business-to-business electronic commerce.

Martin Bichler, Jayant Kalagnanam, Kaan Katircioglu, Alan J. King, Richard D. Lawrence, Ho Soo Lee, Grace Y. Lin, Yingdong Lu

IBM Syst. J., 2002

2001

Personalization of Supermarket Product Recommendations.

Richard D. Lawrence, George S. Almási, Vladimir Kotlyar, Marisa S. Viveros, Sastry Duri

Data Min. Knowl. Discov., 2001

2000

Java programming for high-performance numerical computing.

José E. Moreira, Samuel P. Midkiff, Manish Gupta, Pedro V. Artigas, Marc Snir, Richard D. Lawrence

IBM Syst. J., 2000

1999

A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems.

Richard D. Lawrence, George S. Almási, Holly E. Rushmeier

Data Min. Knowl. Discov., 1999

A Case Study in Information Delivery to Mass Retail Markets.

Vladimir Kotlyar, Marisa S. Viveros, Sastry Duri, Richard D. Lawrence, George S. Almási

Proceedings of the Database and Expert Systems Applications, 10th International Conference, 1999

1997

Visualizing customer segmentations produce by self organizing maps (case study).

Holly E. Rushmeier, Richard D. Lawrence, George S. Almási

Proceedings of the 8th IEEE Visualization Conference, 1997

1994

The IBM External User Interface for Scalable Parallel Systems.

Vasanth 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

Parallel Comput., 1994