Skip to content

Edwin P. D. Pednault

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

16

Venues

10

Active years

1988–2011

Best venue rank

A*

Where they publish

Papers

16 indexed papers, newest first.

YearVenueTitleAuthors
2011ICDESystemML: Declarative machine learning on MapReduce.Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan
2011KDDNIMBLE: 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
2009COMADCRM 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
2006SACEmbedded predictive modeling in a parallel relational database.Ansgar Dorneich, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu
2006SDMTransform Regression and the Kolmogorov Superposition Theorem.Edwin P. D. Pednault
2002ICDMEmpirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apt
2002KDDSequential cost-sensitive decision making with reinforcement learning.Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
2002SDMSegmented Regression Estimators for Massive Data Sets.Ramesh Natarajan, Edwin P. D. Pednault
2001KDDSegmentation-based modeling for advanced targeted marketing.Chidanand Apt, Eric Bibelnieks, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Deb Campbell, Bryan Nelson
2001SDMUsing Simulated Pseudo Data To Speed Up Statistical Predictive Modeling From Massive Data Sets.Ramesh Natarajan, Edwin P. D. Pednault
1997IDADecomposition of Heterogeneous Classification Problems.Chidanand Apt, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen
1991IJCAIGeneralizing Nonlinear Planning to Handle Complex Goals and Actions with Context-Dependent Effects.Edwin P. D. Pednault
1989IJCAISome Experiments in Applying Inductive Inference Principles to Surface Reconstruction.Edwin P. D. Pednault
1989KRADL: Exploring the Middle Ground Between STRIPS and the Situation Calculus.Edwin P. D. Pednault
1988AAAIExtending Conventional Planning Techniques to Handle Actions with Context-Depen dent Effects.Edwin P. D. Pednault
1988AAAIInfering Probabilistic Theofies from Data.Edwin P. D. Pednault