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John Mark Agosta
2010 – today
- 2013
[c13]John Mark Agosta, Jaideep Chandrashekar, Mark Crovella, Nina Taft, Daniel Ting: Mixture models of endhost network traffic. INFOCOM 2013: 225-229- [c12]Omar Zia Khan, Pascal Poupart, John Mark Agosta: Iterative Model Refinement of Recommender MDPs Based on Expert Feedback. ECML/PKDD (1) 2013: 162-177
- [c11]John Mark Agosta: A Lightweight Inference Method for Image Classification. UAI Application Workshops 2013: 50-57
- [i5]John Mark Agosta: Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response. CoRR abs/1302.3550 (2013)
- [i4]John Mark Agosta: "Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-Or" Models. CoRR abs/1303.5704 (2013)
- [i3]Tod S. Levitt, John Mark Agosta, Thomas O. Binford: Model-based Influence Diagrams for Machine Vision. CoRR abs/1304.1517 (2013)
- [i2]
- 2012
- [e1]Ann Nicholson, John Mark Agosta, M. Julia Flores (Eds.): Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, Catalina Island, United States, August 18, 2012. CEUR Workshop Proceedings 962, CEUR-WS.org 2012
- [i1]John Mark Agosta, Jaideep Chandrashekar, Mark Crovella, Nina Taft, Daniel Ting: Mixture Models of Endhost Network Traffic. CoRR abs/1212.2744 (2012)
- 2011
- [c10]Omar Zia Khan, Pascal Poupart, John Mark Agosta: Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints. NIPS 2011: 2591-2599
- 2010
- [c9]Rob Ennals, Dan Byler, John Mark Agosta, Barbara Rosario: What is disputed on the web? WICOW 2010: 67-74
- [c8]Rob Ennals, Beth Trushkowsky, John Mark Agosta: Highlighting disputed claims on the web. WWW 2010: 341-350
2000 – 2009
- 2009
- [c7]John Mark Agosta, Russell Almond, Dennis M. Buede, Marek J. Druzdzel, Judy Goldsmith, Silja Renooij: Workshop summary: Seventh annual workshop on Bayes applications. ICML 2009: 163
- 2008
- [c6]Senthilkumar G. Cheetancheri, John Mark Agosta, Karl N. Levitt, Shyhtsun Felix Wu, Jeff Rowe: Optimal Cost, Collaborative, and Distributed Response to Zero-Day Worms - A Control Theoretic Approach. RAID 2008: 231-250
- 2006
- [c5]Denver Dash, Branislav Kveton, John Mark Agosta, Eve M. Schooler, Jaideep Chandrashekar, Abraham Bachrach, Alex Newman: When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions. AAAI 2006: 1115-1122
1990 – 1999
1980 – 1989
- 1989
- [c2]Tod S. Levitt, John Mark Agosta, Thomas O. Binford: Model-Based Influence Diagrams for Machine Vision. UAI 1989: 371-388
- 1988
- [c1]
Coauthor Index
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last updated on 2013-10-02 11:12 CEST by the dblp team