D. R. Mani - researchr alias

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Viewing Publication 1 - 9 from 9

2013

Parallel deterministic annealing clustering and its application to LC-MS data analysisGeoffrey Fox, D. R. Mani, Saumyadipta Pyne. bigdataconf 2013: 665-673 [doi]

2012

Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomicsD. R. Mani, Susan E. Abbatiello, Steven A. Carr. bmcbi, 13(S-16), 2012. [doi]

2011

Clustering with position-specific constraints on variance: Applying redescending M-estimators to label-free LC-MS data analysisRudolf Fruehwirth, D. R. Mani, Saumyadipta Pyne. bmcbi, 12:358, 2011. [doi]

2001

Estimating business targetsPiew Datta, James Drew, Andrew Betz, D. R. Mani, Jeffery Howard. kdd 2001: 420-425 [doi]

2000

Automated Cellular Modeling and Prediction on a Large ScalePiew Datta, Brij M. Masand, D. R. Mani, Bin Li. air, 14(6):485-502, 2000.

1999

Statistics and Data Mining Techniques for Lifetime Value ModelingD. R. Mani, James Drew, Andrew Betz, Piew Datta. kdd 1999: 94-103 [doi]

CHAMP: A Prototype for Automated Cellular Churn PredictionBrij M. Masand, Piew Datta, D. R. Mani, Bin Li. datamine, 3(2):219-225, 1999.

1997

Massively parallel knowledge representation and reasoning: Taking a cue from the brainLokendra Shastri, D. R. Mani. In James Geller, Hiroaki Kitano, Christian B. Suttner, editors, Parallel Processing for Artificial Intelligence 3. Volume 20 of Machine Intelligence and Pattern Recognition, pages 3-40, Elsevier, 1997. [doi]

1990

An Optimally Efficient, Limited Inference, Connectionist Rule-Based Reasoning System with an Included Type HierarchyLokendra Shastri, Venkat Ajjanagadde, D. R. Mani. Dagstuhl 1992: 366

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