A bias/variance decomposition for models using collective inference

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Learning relational probability trees

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Dependency Networks for Relational Data

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Network-Based Marketing: Identifying Likely Adopters via Consumer

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Why Stacked Models Perform Effective Collective Classification

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Bias/Variance Analysis for Relational Domains

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An ensemble model for collective classification that reduces learning and inference variance

Eldardiry, H., & Neville, J. (2012) · Purdue e-Pubs (Purdue University System)

Learning Compositional Simulation Models

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Ensemble Classification for Relational Domains.

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Bias/Variance Analysis for Relational Domains

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Bias/variance analysis for network data

Neville, J., & Jensen, D. (2006)

An ensemble model for collective classification that reduces learning and inference variance

Eldardiry, H., & Neville, J. (2012) · Purdue e-Pubs (Purdue University System)

Why collective inference improves relational classification

Jensen, D. D., Neville, J., & Gallagher, B. J. (2004) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1014052.1014125 · Cited by 257 · see citing works

Research Track Poster Why Collective Inference Improves Relational Classification

Jensen, D., Neville, J., & Gallagher, B. (2013)