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Edwin P. D. Pednault
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2010 – 2019
- 2013
- [j13]Amol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante:
Trends and outlook for the massive-scale analytics stack. IBM J. Res. Dev. 57(3/4): 2 (2013) - 2011
- [c17]Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan:
SystemML: Declarative machine learning on MapReduce. ICDE 2011: 231-242 - [c16]Amol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan:
NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce. KDD 2011: 334-342
2000 – 2009
- 2009
- [c15]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:
CRM Analytics Framework. COMAD 2009 - 2006
- [c14]Ansgar Dorneich, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu:
Embedded predictive modeling in a parallel relational database. SAC 2006: 569-574 - [c13]Edwin P. D. Pednault:
Transform Regression and the Kolmogorov Superposition Theorem. SDM 2006: 35-46 - 2003
- [j12]Chidanand Apté, Se June Hong, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Sholom M. Weiss:
Data-intensive analytics for predictive modeling. IBM J. Res. Dev. 47(1): 17-24 (2003) - 2002
- [j11]Chidanand Apté, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth
:
Business applications of data mining. Commun. ACM 45(8): 49-53 (2002) - [j10]Chidanand Apté, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu:
A probabilistic estimation framework for predictive modeling analytics. IBM Syst. J. 41(3): 438-448 (2002) - [c12]Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté:
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. ICDM 2002: 3-10 - [c11]Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny:
Sequential cost-sensitive decision making with reinforcement learning. KDD 2002: 259-268 - [c10]Ramesh Natarajan, Edwin P. D. Pednault:
Segmented Regression Estimators for Massive Data Sets. SDM 2002: 566-582 - 2001
- [c9]Chidanand Apté, Eric Bibelnieks, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Deb Campbell, Bryan Nelson:
Segmentation-based modeling for advanced targeted marketing. KDD 2001: 408-413 - [c8]Ramesh Natarajan, Edwin P. D. Pednault:
Using Simulated Pseudo Data To Speed Up Statistical Predictive Modeling From Massive Data Sets. SDM 2001: 1-14 - 2000
- [j9]Edwin P. D. Pednault:
Deep issues: representation is everything. Commun. ACM 43(8): 80-83 (2000)
1990 – 1999
- 1999
- [j8]Chidanand Apté, Edna Grossman, Edwin P. D. Pednault, Barry K. Rosen, Fateh Tipu, Brian F. White:
Probabilistic estimation-based data mining for discovering insurance risks. IEEE Intell. Syst. 14(6): 49-58 (1999) - 1998
- [j7]Chidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen:
Decomposition of Heterogeneous Classification Problems. Intell. Data Anal. 2(1-4): 81-96 (1998) - 1997
- [j6]Jonathan R. M. Hosking, Edwin P. D. Pednault, Madhu Sudan:
A statistical perspective on data mining. Future Gener. Comput. Syst. 13(2-3): 117-134 (1997) - [c7]Chidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen:
Decomposition of Heterogeneous Classification Problems. IDA 1997: 17-28 - 1994
- [j5]Edwin P. D. Pednault:
ADL and the State-Transition Model of Action. J. Log. Comput. 4(5): 467-512 (1994) - 1992
- [j4]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:
Reading Handwritten Digits: A ZIP Code Recognition System. Computer 25(7): 59-63 (1992) - 1991
- [j3]Edwin P. D. Pednault:
Theory and Application of Minimal-Length Encoding: 1990 AAAI Spring Symposium Report. AI Mag. 11(5): 94-96 (1991) - [c6]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:
A neural network approach to handprint character recognition. Compcon 1991: 472-475 - [c5]Edwin P. D. Pednault:
Generalizing Nonlinear Planning to Handle Complex Goals and Actions with Context-Dependent Effects. IJCAI 1991: 240-245 - [p1]Edwin P. D. Pednault:
Minimal-Length Encoding and Inductive Inference. Knowledge Discovery in Databases 1991: 71-92
1980 – 1989
- 1989
- [c4]Edwin P. D. Pednault:
Some Experiments in Applying Inductive Inference Principles to Surface Reconstruction. IJCAI 1989: 1603-1609 - [c3]Edwin P. D. Pednault:
ADL: Exploring the Middle Ground Between STRIPS and the Situation Calculus. KR 1989: 324-332 - 1988
- [j2]Edwin P. D. Pednault:
Synthesizing plans that contain actions with context-dependent effects. Comput. Intell. 4: 356-372 (1988) - [c2]Edwin P. D. Pednault:
Extending Conventional Planning Techniques to Handle Actions with Context-Depen dent Effects. AAAI 1988: 55-59 - [c1]Edwin P. D. Pednault:
Infering Probabilistic Theofies from Data. AAAI 1988: 624-628 - 1981
- [j1]Edwin P. D. Pednault, Steven W. Zucker, L. V. Muresan:
On the Independence Assumption Underlying Subjective Bayesian Updating. Artif. Intell. 16(2): 213-222 (1981)
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