articleTop 1% cited
Chemical gas sensor drift compensation using classifier ensembles
Sensors and Actuators B Chemical · 2012 · Vol. 166-167 · pp. 320–329
Alexander Vergara✉(University of California, San Diego)Shankar Vembu(University of California, San Diego)Tuba Ayhan(Istanbul Technical University)M. A. Ryan(Jet Propulsion Laboratory)M. L. Homer(Jet Propulsion Laboratory)Ramón Huerta(University of California, San Diego)
Advanced Chemical Sensor TechnologiesGas Sensing Nanomaterials and SensorsInsect Pheromone Research and ControlComputer scienceClassifier (UML)Support vector machineCompensation (psychology)Concept driftArtificial intelligenceSensor arrayPattern recognition (psychology)Machine learningData mining
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References
New approaches for improving semiconductor gas sensors
Sensors and Actuators B Chemical · 1991 · 1,757 citations
Support-Vector Networks
Machine Learning · 1995 · 32,108 citations
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Neural Computation · 1998 · 8,015 citations
Support-vector networks
Machine Learning · 1995 · 39,987 citations
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