New results using multi array sensors and support vector machines for the detection and classification of organophosphate nerve agents.
Walker H. Land Jr.Dale LeibenspergerLut WongOmowunmi SadikA. WanekeyabMichiko UematsuMark J. EmbrechtsPublished in: SMC (2003)
Keyphrases
- support vector
- classification accuracy
- support vector machine
- learning machines
- multi agent systems
- multi agent
- svm classifier
- feature selection
- large margin classifiers
- generalization ability
- real time
- cooperative
- kernel function
- detection method
- svm classification
- pattern recognition
- feature space
- multiagent systems
- intelligent agents
- multi class classification
- neyman pearson
- support vector machine svm
- text classification
- training set
- decision trees
- object detection
- feature vectors
- radial basis function
- software agents
- autonomous agents
- data fusion
- supervised learning
- cross validation
- feature set
- image classification
- model selection
- training examples
- data streams
- decision function
- decision making
- binary classification
- multi sensor
- kernel methods
- sensor data
- false positives
- logistic regression
- detection algorithm