Edwin P. D. Pednault - researchr alias

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Viewing Publication 1 - 30 from 30

2013

Trends and outlook for the massive-scale analytics stackAmol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante. ibmrd, 57(3/4):2, 2013. [doi]

2011

SystemML: Declarative machine learning on MapReduceAmol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan. icde 2011: 231-242 [doi]

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduceAmol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan. kdd 2011: 334-342 [doi]

2006

Embedded predictive modeling in a parallel relational databaseA. Dorneich, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu. SAC 2006: 569-574 [doi]

Transform Regression and the Kolmogorov Superposition TheoremEdwin P. D. Pednault. sdm 2006: 35-46 [doi]

2003

Data-intensive analytics for predictive modelingChidanand Apté, Se June Hong, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Sholom M. Weiss. ibmrd, 47(1):17-24, 2003. [doi]

2002

2001

Segmentation-based modeling for advanced targeted marketingChidanand Apté, E. Bibelnieks, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Deb Campbell, Bryan Nelson. kdd 2001: 408-413 [doi]

Using Simulated Pseudo Data To Speed Up Statistical Predictive Modeling From Massive Data SetsRamesh Natarajan, Edwin P. D. Pednault. sdm 2001: 1-14 [doi]

2000

Deep issues: representation is everythingEdwin P. D. Pednault. CACM, 43(8):80-83, 2000. [doi]

1999

Probabilistic estimation-based data mining for discovering insurance risksChidanand Apté, Edna Grossman, Edwin P. D. Pednault, Barry K. Rosen, Fateh Tipu, Brian F. White. expert, 14(6):49-58, 1999. [doi]

1998

Decomposition of Heterogeneous Classification ProblemsChidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen. ida, 2(1-4):81-96, 1998. [doi]

1997

Decomposition of Heterogeneous Classification ProblemsChidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen. ida 1997: 17-28 [doi]

A statistical perspective on data miningJonathan R. M. Hosking, Edwin P. D. Pednault, Madhu Sudan. fgcs, 13(2-3):117-134, 1997. [doi]

1994

ADL and the State-Transition Model of ActionEdwin P. D. Pednault. logcom, 4(5):467-512, 1994.

1992

Reading Handwritten Digits: A ZIP Code Recognition SystemOfer 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, 25(7):59-63, 1992.

1991

1989

Some Experiments in Applying Inductive Inference Principles to Surface ReconstructionEdwin P. D. Pednault. IJCAI 1989: 1603-1609

ADL: Exploring the Middle Ground Between STRIPS and the Situation CalculusEdwin P. D. Pednault. kr 1989: 324-332

1988

Extending Conventional Planning Techniques to Handle Actions with Context-Depen dent EffectsEdwin P. D. Pednault. AAAI 1988: 55-59

Infering Probabilistic Theofies from DataEdwin P. D. Pednault. AAAI 1988: 624-628

Synthesizing plans that contain actions with context-dependent effectsEdwin P. D. Pednault. ci, 4:356-372, 1988.

1981

On the Independence Assumption Underlying Subjective Bayesian UpdatingEdwin P. D. Pednault, Steven W. Zucker, L. V. Muresan. ai, 16(2):213-222, 1981.

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