Edwin P. D. Pednault

According to our database1, Edwin P. D. Pednault authored at least 29 papers between 1981 and 2013.

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Bibliography

2013
Trends and outlook for the massive-scale analytics stack.
IBM Journal of Research and Development, 2013

2011
NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

SystemML: Declarative machine learning on MapReduce.
Proceedings of the 27th International Conference on Data Engineering, 2011

2009
CRM Analytics Framework.
Proceedings of the 15th International Conference on Management of Data, 2009

2006
Transform Regression and the Kolmogorov Superposition Theorem.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Embedded predictive modeling in a parallel relational database.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

2003
Data-intensive analytics for predictive modeling.
IBM Journal of Research and Development, 2003

2002
A probabilistic estimation framework for predictive modeling analytics.
IBM Systems Journal, 2002

Business applications of data mining.
Commun. ACM, 2002

Segmented Regression Estimators for Massive Data Sets.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Sequential cost-sensitive decision making with reinforcement learning.
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.
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.
Proceedings of the First SIAM International Conference on Data Mining, 2001

Segmentation-based modeling for advanced targeted marketing.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000
Deep issues: representation is everything.
Commun. ACM, 2000

1997
A statistical perspective on data mining.
Future Generation Comp. Syst., 1997

Decomposition of Heterogeneous Classification Problems.
Proceedings of the Advances in Intelligent Data Analysis, 1997

1994
ADL and the State-Transition Model of Action.
J. Log. Comput., 1994

1992
Reading Handwritten Digits: A ZIP Code Recognition System.
IEEE Computer, 1992

1991
Theory and Application of Minimal-Length Encoding: 1990 AAAI Spring Symposium Report.
AI Magazine, 1991

Generalizing Nonlinear Planning to Handle Complex Goals and Actions with Context-Dependent Effects.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991


Minimal-Length Encoding and Inductive Inference.
Proceedings of the Knowledge Discovery in Databases, 1991

1989
ADL: Exploring the Middle Ground Between STRIPS and the Situation Calculus.
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.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

1988
Synthesizing plans that contain actions with context-dependent effects.
Computational Intelligence, 1988

Infering Probabilistic Theofies from Data.
Proceedings of the 7th National Conference on Artificial Intelligence, 1988

Extending Conventional Planning Techniques to Handle Actions with Context-Depen dent Effects.
Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1981
On the Independence Assumption Underlying Subjective Bayesian Updating.
Artif. Intell., 1981


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