Publication | Open Access
The AQ19 System for Machine Learning and Pattern Discovery: A General Description and User's Guide
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Citations
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References
2001
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Unknown Venue
Artificial IntelligenceEngineeringMachine LearningPattern DiscoveryPattern MiningIntelligent SystemsArtificial Intelligence LaboratoryAi ArchitectureOptimization-based Data MiningData ScienceData MiningPattern RecognitionKnowledge Discovery ProcessStatisticsComputer-assisted ReasoningAq19 SystemKnowledge DiscoveryComputer ScienceInductive Logic ProgrammingAq MethodologyApplied Artificial IntelligenceAutomated ReasoningAutomated Machine LearningStatistical Inference
Research on the development of the AQ methodology and AQ programs has been conducted in the Machine Learning and Inference Laboratory at George Mason University and previously at the Artificial Intelligence Laboratory at the University of Illinois at Champaign-Urbana. Recent research was supported in part by the National Science Foundation under Grants No. IIS-9906858 and IIS-9904078, in part by the Office of Naval Research under Grant No. N00014-91-J-1351, in part by the Defense Advanced Research Projects Agency under Grant No. N00014-91-J-1854, administered by the Office of Naval Research, and Grant No. F49620-92-J-0549 administered by the Air Force Office of Scientific Research, and in part by the grant LUCITE Task #32 with the University of Maryland, Baltimore County.
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