Edwin P. D. Pednault

According to our database, Edwin P. D. Pednault authored at least 30 papers between 1981 and 2013.

Collaborative distances:

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

2013

Trends and outlook for the massive-scale analytics stack.

Amol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante

IBM J. Res. Dev., 2013

2011

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce.

Amol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan

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

SystemML: Declarative machine learning on MapReduce.

Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan

Proceedings of the 27th International Conference on Data Engineering, 2011

2009

CRM Analytics Framework.

Joseph P. Bigus, Upendra Chitnis, Prasad M. Deshpande, Ramakrishnan Kannan, Mukesh K. Mohania, Sumit Negi, Deepak Padmanabhan, Edwin P. D. Pednault, Soujanya Soni, Bipen K. Telkar, Brian F. White

Proceedings of the 15th International Conference on Management of Data, 2009

2006

Transform Regression and the Kolmogorov Superposition Theorem.

Edwin P. D. Pednault

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

Embedded predictive modeling in a parallel relational database.

Ansgar Dorneich, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu

Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

2003

Data-intensive analytics for predictive modeling.

Chidanand Apté, Se June Hong, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Sholom M. Weiss

IBM J. Res. Dev., 2003

2002

A probabilistic estimation framework for predictive modeling analytics.

Chidanand Apté, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu

IBM Syst. J., 2002

Business applications of data mining.

Chidanand Apté, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth

Commun. ACM, 2002

Segmented Regression Estimators for Massive Data Sets.

Ramesh Natarajan, Edwin P. D. Pednault

Proceedings of the Second SIAM International Conference on Data Mining, 2002

Sequential cost-sensitive decision making with reinforcement learning.

Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.

Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001

Using Simulated Pseudo Data To Speed Up Statistical Predictive Modeling From Massive Data Sets.

Ramesh Natarajan, Edwin P. D. Pednault

Proceedings of the First SIAM International Conference on Data Mining, 2001

Segmentation-based modeling for advanced targeted marketing.

Chidanand Apté, Eric Bibelnieks, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Deb Campbell, Bryan Nelson

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000

Deep issues: representation is everything.

Edwin P. D. Pednault

Commun. ACM, 2000

1999

Probabilistic estimation-based data mining for discovering insurance risks.

Chidanand Apté, Edna Grossman, Edwin P. D. Pednault, Barry K. Rosen, Fateh Tipu, Brian F. White

IEEE Intell. Syst., 1999

1998

Decomposition of Heterogeneous Classification Problems.

Chidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen

Intell. Data Anal., 1998

1997

A statistical perspective on data mining.

Jonathan R. M. Hosking, Edwin P. D. Pednault, Madhu Sudan

Future Gener. Comput. Syst., 1997

1994

ADL and the State-Transition Model of Action.

Edwin P. D. Pednault

J. Log. Comput., 1994

1992

Reading Handwritten Digits: A ZIP Code Recognition System.

Ofer Matan, Henry S. Baird, Jane Bromley, Christopher J. C. Burges, John S. Denker, Lawrence D. Jackel, Yann LeCun, Edwin P. D. Pednault, William Satterfield, Charles E. Stenard, Timothy J. Thompson

Computer, 1992

1991

Theory and Application of Minimal-Length Encoding: 1990 AAAI Spring Symposium Report.

Edwin P. D. Pednault

AI Mag., 1991

Generalizing Nonlinear Planning to Handle Complex Goals and Actions with Context-Dependent Effects.

Edwin P. D. Pednault

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

A neural network approach to handprint character recognition.

Lawrence D. Jackel, Charles E. Stenard, Henry S. Baird, Bernhard E. Boser, Jane Bromley, Christopher J. C. Burges, John S. Denker, Hans Peter Graf, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard, Yann LeCun, Ofer Matan, Edwin P. D. Pednault, William Satterfield, Eduard Säckinger, Timothy J. Thompson

Proceedings of the Compcon Spring '91, San Francisco, 1991

Minimal-Length Encoding and Inductive Inference.

Edwin P. D. Pednault

Proceedings of the Knowledge Discovery in Databases, 1991

1989

ADL: Exploring the Middle Ground Between STRIPS and the Situation Calculus.

Edwin P. D. Pednault

Proceedings of the 1st International Conference on Principles of Knowledge Representation and Reasoning (KR'89). Toronto, 1989

Some Experiments in Applying Inductive Inference Principles to Surface Reconstruction.

Edwin P. D. Pednault

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

1988

Synthesizing plans that contain actions with context-dependent effects.

Edwin P. D. Pednault

Comput. Intell., 1988

Infering Probabilistic Theofies from Data.

Edwin P. D. Pednault

Proceedings of the 7th National Conference on Artificial Intelligence, 1988

Extending Conventional Planning Techniques to Handle Actions with Context-Depen dent Effects.

Edwin P. D. Pednault

Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1981

On the Independence Assumption Underlying Subjective Bayesian Updating.

Edwin P. D. Pednault, Steven W. Zucker, L. V. Muresan

Artif. Intell., 1981