Mark Brodie

According to our database1, Mark Brodie authored at least 21 papers between 1998 and 2009.

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Bibliography

2009
Decision Tree Learning Using a Bayesian Approach at Each Node.
Proceedings of the Advances in Artificial Intelligence, 2009

2008
Top-k Correlation Computation.
INFORMS J. Comput., 2008

SPIRIT: Service for providing infrastructure recommendations for IT.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubioquitous Networks and Services, 2008

A Graphical Approach to Providing Infrastructure Recommendations for IT.
Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008

2007
Support Services: Persuading Employees and Customers to Do what Is in the Community's Best Interest.
Proceedings of the Persuasive Technology, 2007

2006
TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Adaptive diagnosis in distributed systems.
IEEE Trans. Neural Networks, 2005

Automated Problem Determination using Call-Stack Matching.
J. Netw. Syst. Manag., 2005

Test-based diagnosis: tree and matrix representations.
Proceedings of the Integrated Network Management, 2005

Quickly Finding Known Software Problems via Automated Symptom Matching.
Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005

2004
Real-time problem determination in distributed systems using active probing.
Proceedings of the Managing Next Generation Convergence Networks and Services, 2004

2003
Active Probing Strategies for Problem Diagnosis in Distributed Systems.
Proceedings of the IJCAI-03, 2003

2002
Cross training and its application to skill mining.
IBM Syst. J., 2002

Intelligent probing: A cost-effective approach to fault diagnosis in computer networks.
IBM Syst. J., 2002

Accuracy vs. Efficiency Trade-offs in Probabilistic Diagnosis.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Iterated Phantom Induction: A Knowledge-Based Approach to Learning Control.
Mach. Learn., 2001

A Unified Framework for Evaluation Metrics in Classification Using Decision Trees.
Proceedings of the Machine Learning: EMCL 2001, 2001

Optimizing Probe Selection for Fault Localization.
Proceedings of the Operations & Management, 2001

2000
Iterated Phantom Induction: A Little Knowledge Can Go a Long Way
PhD thesis, 2000

1999
Learning to Ride a Bicycle using Iterated Phantom Induction.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998
Iterated Phantom Induction: A Little Knowledge Can Go a Long Way.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998


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