Edwin P. D. Pednault

31 papers A* 10A 3B 1Misc 2Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2013 J jnl
Trends and outlook for the massive-scale analytics stack.
IBM J. Res. Dev.
Amol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante
2011 A* conf
NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce.
KDD
Amol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan
2011 A* conf
SystemML: Declarative machine learning on MapReduce.
ICDE
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan
2009 Misc conf
CRM Analytics Framework.
COMAD
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
2006 Misc conf
Embedded predictive modeling in a parallel relational database.
SAC
Ansgar Dorneich, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu
2006 A conf
Transform Regression and the Kolmogorov Superposition Theorem.
SDM
Edwin P. D. Pednault
2003 J jnl
Data-intensive analytics for predictive modeling.
IBM J. Res. Dev.
Chidanand Apté, Se June Hong, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Sholom M. Weiss
2002 J jnl
A probabilistic estimation framework for predictive modeling analytics.
IBM Syst. J.
Chidanand Apté, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu
2002 J jnl
Business applications of data mining.
Commun. ACM
Chidanand Apté, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth
2002 A* conf
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.
ICDM
Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté
2002 A conf
Segmented Regression Estimators for Massive Data Sets.
SDM
Ramesh Natarajan, Edwin P. D. Pednault
2002 A* conf
Sequential cost-sensitive decision making with reinforcement learning.
KDD
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
2001 A* conf
Segmentation-based modeling for advanced targeted marketing.
KDD
Chidanand Apté, Eric Bibelnieks, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Deb Campbell, Bryan Nelson
2001 A conf
Using Simulated Pseudo Data To Speed Up Statistical Predictive Modeling From Massive Data Sets.
SDM
Ramesh Natarajan, Edwin P. D. Pednault
2000 J jnl
Deep issues: representation is everything.
Commun. ACM
Edwin P. D. Pednault
1999 J jnl
Probabilistic estimation-based data mining for discovering insurance risks.
IEEE Intell. Syst.
Chidanand Apté, Edna Grossman, Edwin P. D. Pednault, Barry K. Rosen, Fateh Tipu, Brian F. White
1998 J jnl
Decomposition of Heterogeneous Classification Problems.
Intell. Data Anal.
Chidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen
1997 J jnl
A statistical perspective on data mining.
Future Gener. Comput. Syst.
Jonathan R. M. Hosking, Edwin P. D. Pednault, Madhu Sudan
1997 B conf
Decomposition of Heterogeneous Classification Problems.
IDA
Chidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen
1994 J jnl
ADL and the State-Transition Model of Action.
J. Log. Comput.
Edwin P. D. Pednault
1992 J jnl
Reading Handwritten Digits: A ZIP Code Recognition System.
Computer
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
1991 — conf
A neural network approach to handprint character recognition.
Compcon
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
1991 A* conf
Generalizing Nonlinear Planning to Handle Complex Goals and Actions with Context-Dependent Effects.
IJCAI
Edwin P. D. Pednault
1991 — ch.
Minimal-Length Encoding and Inductive Inference.
Knowledge Discovery in Databases
Edwin P. D. Pednault
1991 J jnl
Theory and Application of Minimal-Length Encoding: 1990 AAAI Spring Symposium Report.
AI Mag.
Edwin P. D. Pednault
1989 A* conf
ADL: Exploring the Middle Ground Between STRIPS and the Situation Calculus.
KR
Edwin P. D. Pednault
1989 A* conf
Some Experiments in Applying Inductive Inference Principles to Surface Reconstruction.
IJCAI
Edwin P. D. Pednault
1988 A* conf
Extending Conventional Planning Techniques to Handle Actions with Context-Depen dent Effects.
AAAI
Edwin P. D. Pednault
1988 A* conf
Infering Probabilistic Theofies from Data.
AAAI
Edwin P. D. Pednault
1988 J jnl
Synthesizing plans that contain actions with context-dependent effects.
Comput. Intell.
Edwin P. D. Pednault
1981 J jnl
On the Independence Assumption Underlying Subjective Bayesian Updating.
Artif. Intell.
Edwin P. D. Pednault, Steven W. Zucker, L. V. Muresan