John Mark Agosta

27 papers A* 5A 5Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Hierarchical Bayesian Regression for Multi-Location Sales Transaction Forecasting. CoRR John Mark Agosta, Mario Inchiosa
2023	—	`conf`	Interpreting Dynamic Causal Model Policies. PKDD/ECML Workshops (2) John Mark Agosta, Robert Horton, Maryam Tavakoli Hosseinabadi
2023	J	`jnl`	Redeeming Data Science by Decision Modelling. CoRR John Mark Agosta, Robert Horton
2023	J	`jnl`	Runtime Variation in Big Data Analytics. CoRR Yiwen Zhu, Rathijit Sen, Robert Horton, John Mark Agosta
2023	J	`jnl`	Runtime Variation in Big Data Analytics. Proc. ACM Manag. Data Yiwen Zhu, Rathijit Sen, Robert Horton, John Mark Agosta
2016	—	`ed.`	Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), Amsterdam, The Netherlands, July 16, 2015. BMA@UAI John Mark Agosta, Rommel Novaes Carvalho
2016	A*	`conf`	Scalable Data Analytics Using R: Single Machines to Hadoop Spark Clusters. KDD John Mark Agosta, Debraj GuhaThakurta, Robert Horton, Mario Inchiosa, Srini Kumar, Mengyue Zhao
2013	J	`jnl`	"Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-Or" Models CoRR John Mark Agosta
2013	—	`conf`	A Lightweight Inference Method for Image Classification. UAI Application Workshops John Mark Agosta, Preeti J. Pillai
2013	J	`jnl`	Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response CoRR John Mark Agosta
2013	—	`conf`	Iterative Model Refinement of Recommender MDPs Based on Expert Feedback. ECML/PKDD (1) Omar Zia Khan, Pascal Poupart, John Mark Agosta
2013	A*	`conf`	Mixture models of endhost network traffic. INFOCOM John Mark Agosta, Jaideep Chandrashekar, Mark Crovella, Nina Taft, Daniel Ting
2013	J	`jnl`	Model-based Influence Diagrams for Machine Vision CoRR Tod S. Levitt, John Mark Agosta, Thomas O. Binford
2013	—	`ed.`	Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, Catalina Island, United States, August 18, 2012 BMA Ann E. Nicholson, John Mark Agosta, M. Julia Flores
2013	J	`jnl`	The structure of Bayes nets for vision recognition CoRR John Mark Agosta
2012	J	`jnl`	Mixture Models of Endhost Network Traffic CoRR John Mark Agosta, Jaideep Chandrashekar, Mark Crovella, Nina Taft, Daniel Ting
2011	—	`conf`	Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints. NIPS Omar Zia Khan, Pascal Poupart, John Mark Agosta
2010	A*	`conf`	Highlighting disputed claims on the web. WWW Rob Ennals, Beth Trushkowsky, John Mark Agosta
2010	—	`conf`	What is disputed on the web? WICOW Rob Ennals, Dan Byler, John Mark Agosta, Barbara Rosario
2009	A*	`conf`	Workshop summary: Seventh annual workshop on Bayes applications. ICML John Mark Agosta, Russell G. Almond, Dennis M. Buede, Marek J. Druzdzel, Judy Goldsmith, Silja Renooij
2008	A	`conf`	Optimal Cost, Collaborative, and Distributed Response to Zero-Day Worms - A Control Theoretic Approach. RAID Senthilkumar G. Cheetancheri, John Mark Agosta, Karl N. Levitt, Shyhtsun Felix Wu, Jeff Rowe
2006	—	`conf`	A distributed host-based worm detection system. LSAD@SIGCOMM Senthilkumar G. Cheetancheri, John Mark Agosta, Denver Dash, Karl N. Levitt, Jeff Rowe, Eve M. Schooler
2006	A*	`conf`	When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions. AAAI Denver Dash, Branislav Kveton, John Mark Agosta, Eve M. Schooler, Jaideep Chandrashekar, Abraham Bachrach, Alex Newman
1996	A	`conf`	Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response. UAI John Mark Agosta
1991	A	`conf`	"Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-OR" Models. UAI John Mark Agosta
1989	A	`conf`	Model-Based Influence Diagrams for Machine Vision. UAI Tod S. Levitt, John Mark Agosta, Thomas O. Binford
1988	A	`conf`	The structure of bayes networks for visual recognition. UAI John Mark Agosta