John Mark Agosta - researchr alias

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Viewing Publication 1 - 16 from 16

2023

Runtime Variation in Big Data AnalyticsYiwen Zhu, Rathijit Sen, Robert Horton, John Mark Agosta. pacmmod, 1(1), 2023. [doi]

2016

Scalable Data Analytics Using R: Single Machines to Hadoop Spark ClustersJohn Mark Agosta, Debraj GuhaThakurta, Robert Horton, Mario Inchiosa, Srini Kumar, Mengyue Zhao. kdd 2016: 2115 [doi]

2013

A Lightweight Inference Method for Image ClassificationJohn Mark Agosta, Preeti Pillai. uai 2013: 50-57 [doi]

Mixture models of endhost network trafficJohn Mark Agosta, Jaideep Chandrashekar, Mark Crovella, Nina Taft, Daniel Ting. infocom 2013: 225-229 [doi]

Iterative Model Refinement of Recommender MDPs Based on Expert FeedbackOmar Zia Khan, Pascal Poupart, John Mark Agosta. pkdd 2013: 162-177 [doi]

2011

Automated Refinement of Bayes Networks' Parameters based on Test Ordering ConstraintsOmar Zia Khan, Pascal Poupart, John Mark Agosta. nips 2011: 2591-2599 [doi]

2010

Highlighting disputed claims on the webRob Ennals, Beth Trushkowsky, John Mark Agosta. WWW 2010: 341-350 [doi]

What is disputed on the web?Rob Ennals, Dan Byler, John Mark Agosta, Barbara Rosario. WWW 2010: 67-74 [doi]

2009

Workshop summary: Seventh annual workshop on Bayes applicationsJohn Mark Agosta, Russell Almond, Dennis M. Buede, Marek J. Druzdzel, Judy Goldsmith, Silja Renooij. icml 2009: 163 [doi]

2008

Optimal Cost, Collaborative, and Distributed Response to Zero-Day Worms - A Control Theoretic ApproachSenthilkumar G. Cheetancheri, John Mark Agosta, Karl N. Levitt, Shyhtsun Felix Wu, Jeff Rowe. raid 2008: 231-250 [doi]

2006

A distributed host-based worm detection systemSenthilkumar G. Cheetancheri, John Mark Agosta, Denver Dash, Karl N. Levitt, Jeff Rowe, Eve M. Schooler. sigcomm 2006: 107-113 [doi]

When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network IntrusionsDenver Dash, Branislav Kveton, John Mark Agosta, Eve M. Schooler, Jaideep Chandrashekar, Abraham Bachrach, Alex Newman. AAAI 2006: 1115-1122

1996

Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill ResponseJohn Mark Agosta. uai 1996: 11-19 [doi]

1991

Conditional Inter-Causally Independent Node Distributions, a Property of Noisy-OR ModelsJohn Mark Agosta. uai 1991: 9-16 [doi]

1989

Model-Based Influence Diagrams for Machine VisionTod S. Levitt, John Mark Agosta, Thomas O. Binford. uai 1990: 371-388 [doi]

1988

The structure of bayes networks for visual recognitionJohn Mark Agosta. uai 1990: 397-406 [doi]

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