Predicting building contamination using machine learning

Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007

Volumn , Issue , 2007, Pages 192-197

  Martin, Shawn ^a   McKenna, Sean ^a  

^a SANDIA NATIONAL LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BUILDINGS; CONTAMINATION; EDUCATION; FOOD PROCESSING; FORECASTING; LOCATION; MODELS; PROCESS MONITORING; ROBOT LEARNING; STEEL STRUCTURES; SUPPORT VECTOR MACHINES;

APPROXIMATE MODELS; CHEMICAL CONTAMINATION; COMPUTATIONALLY COSTLY; CONTAMINANT LEVELS; CONTAMINATION LEVELS; HOMELAND SECURITY (HLS); INTERNATIONAL CONFERENCES; MACHINE-LEARNING; PHYSICAL PROCESSES; SOURCE LOCATIONS; SUPPORT VECTOR MACHINE (SVM) REGRESSION;

LEARNING SYSTEMS;

EID: 47349083666     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2007.84     Document Type: Conference Paper

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