John Mark Agosta

Orcid: 0000-0001-9826-6509

According to our database1, John Mark Agosta authored at least 19 papers between 1988 and 2023.

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Bibliography

2023
Runtime Variation in Big Data Analytics.
Proc. ACM Manag. Data, 2023

Redeeming Data Science by Decision Modelling.
CoRR, 2023

Hierarchical Bayesian Regression for Multi-Location Sales Transaction Forecasting.
CoRR, 2023

2016
Scalable Data Analytics Using R: Single Machines to Hadoop Spark Clusters.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2013
The structure of Bayes nets for vision recognition
CoRR, 2013

A Lightweight Inference Method for Image Classification.
Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, 2013

Iterative Model Refinement of Recommender MDPs Based on Expert Feedback.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Mixture models of endhost network traffic.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2011
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Highlighting disputed claims on the web.
Proceedings of the 19th International Conference on World Wide Web, 2010

What is disputed on the web?
Proceedings of the 4th ACM Workshop on Information Credibility on the Web, 2010

2009
Workshop summary: Seventh annual workshop on Bayes applications.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Optimal Cost, Collaborative, and Distributed Response to Zero-Day Worms - A Control Theoretic Approach.
Proceedings of the Recent Advances in Intrusion Detection, 11th International Symposium, 2008

2006
A distributed host-based worm detection system.
Proceedings of the 2006 SIGCOMM Workshop on Large-Scale Attack Defense, 2006

When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions.
Proceedings of the Proceedings, 2006

1996
Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

1991
"Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-OR" Models.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

1989
Model-Based Influence Diagrams for Machine Vision.
Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989

1988
The structure of bayes networks for visual recognition.
Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988


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