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» Problems of learning in multi-agent systems
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AAAI
2006
15 years 5 months ago
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...
ICCS
1993
Springer
15 years 8 months ago
Towards Domain-Independent Machine Intelligence
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Robert Levinson
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 5 months ago
Supply chain management sales using XCSR
The Trading Agent Competition in its category Supply Chain Management (TAC SCM) is an international forum where teams construct agents that control a computer assembly company in ...
María A. Franco, Ivette C. Martínez,...
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
15 years 11 months ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li
AUIC
2004
IEEE
15 years 8 months ago
A Knowledge Management Approach to User Support
This paper considers the problem of computer user support and workplace learning in general. Theoretically our work is influenced by ideas on knowledge management, expertise netwo...
R. T. Jim Eales