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A Quantitative Evaluation Framework for Missing Value Imputation Algorithms


Nov 10, 2013
Vinod Nair, Rahul Kidambi, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke, Vijay Narayanan

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* 9 pages 

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Large Margin Semi-supervised Structured Output Learning


Nov 09, 2013
P. Balamurugan, Shirish Shevade, Sundararajan Sellamanickam

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* 9 pages 

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A Structured Prediction Approach for Missing Value Imputation


Nov 09, 2013
Rahul Kidambi, Vinod Nair, Sundararajan Sellamanickam, S. Sathiya Keerthi

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* 9 Pages 

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Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses


Nov 01, 2012
Sathiya Keerthi Selvaraj, Sundararajan Sellamanickam, Shirish Shevade

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Predictive Approaches For Gaussian Process Classifier Model Selection


Jun 26, 2012
Sundararajan Sellamanickam, Sathiya Keerthi Selvaraj

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* 21 pages 

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An Additive Model View to Sparse Gaussian Process Classifier Design


Jun 26, 2012
Sundararajan Sellamanickam, Shirish Shevade

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* 14 pages, 3 figures 

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Transductive Classification Methods for Mixed Graphs


Jun 26, 2012
Sundararajan Sellamanickam, Sathiya Keerthi Selvaraj

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* 8 Pages, 2 Tables, 2 Figures, KDD Workshop - MLG'11 San Diego, CA, USA 

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Graph Based Classification Methods Using Inaccurate External Classifier Information


Jun 26, 2012
Sundararajan Sellamanickam, Sathiya Keerthi Selvaraj

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* 12 pages 

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