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John Mark Agosta Coauthor index pubzone.org

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DBLP keys2011
10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLOmar Zia Khan, Pascal Poupart, John Mark Agosta: Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints. NIPS 2011: 2591-2599
2010
9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRob Ennals, Dan Byler, John Mark Agosta, Barbara Rosario: What is disputed on the web? WICOW 2010: 67-74
8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRob Ennals, Beth Trushkowsky, John Mark Agosta: Highlighting disputed claims on the web. WWW 2010: 341-350
2009
7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJohn 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
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSenthilkumar 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
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDenver 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
1996
4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJohn Mark Agosta: Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response. UAI 1996: 11-19
1991
3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJohn Mark Agosta: "Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-OR" Models. UAI 1991: 9-16
1989
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTod S. Levitt, John Mark Agosta, Thomas O. Binford: Model-Based Influence Diagrams for Machine Vision. UAI 1989: 371-388
1988
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJohn Mark Agosta: The structure of bayes networks for visual recognition. UAI 1988: 397-406

Coauthor Index

1Russell Almond [7]
2Abraham Bachrach [5]
3Thomas O. Binford [2]
4Dennis M. Buede [7]
5Dan Byler [9]
6Jaideep Chandrashekar [5]
7Senthilkumar G. Cheetancheri [6]
8Denver Dash [5]
9Marek J. Druzdzel [7]
10Rob Ennals [8] [9]
11Judy Goldsmith [7]
12Omar Zia Khan [10]
13Branislav Kveton [5]
14Karl N. Levitt [6]
15Tod S. Levitt [2]
16Alex Newman [5]
17Pascal Poupart [10]
18Silja Renooij [7]
19Barbara Rosario [9]
20Jeff Rowe [6]
21Eve M. Schooler [5]
22Beth Trushkowsky [8]
23Shyhtsun Felix Wu [6]

Colors in the list of coauthors

Last update Sat May 26 04:23:17 2012 CET by the DBLP TeamThis material is Open Data Data released under the ODC-BY 1.0 license — See also our legal information page