David Cohn

According to our database1, David Cohn authored at least 17 papers between 1997 and 2019.

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Bibliography

2019
Provable Approximations for Constrained $\ell_p$ Regression.
CoRR, 2019

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

2010
Active Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

2009
Business Artifacts: A Data-centric Approach to Modeling Business Operations and Processes.
IEEE Data Eng. Bull., 2009

Artifact-Based Transformation of IBM Global Financing.
Proceedings of the Business Process Management, 7th International Conference, 2009

2008
Siena: From PowerPoint to Web App in 5 Minutes.
Proceedings of the Service-Oriented Computing, 2008

Solving the Service Composition Puzzle.
Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008

2006
Recursive Attribute Factoring.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2003
Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries.
Proceedings of the Machine Learning, 2003

2002
Informed Projections.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

The changing face of scientific communication: Developing new models for scholarly publishing in the electronic environment. Sponsored by SIG STI, SIG PUB.
Proceedings of the Information, Connetcitons and Community, 2002

2000
Bridging the lexical chasm: statistical approaches to answer-finding.
Proceedings of the SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000

Less is More: Active Learning with Support Vector Machines.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Learning to Probabilistically Identify Authoritative Documents.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Learning to Create Customized Authority Lists.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

A Nonparametric Approach to Noisy and Costly Optimization.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1997
How to Dynamically Merge Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997


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