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Mass spectrum labeling: theory and practice
By: Cai, J.-Y.; Chen, L.; Huang, Z.; Wright, S.J.; Gross, D.; Schauer, J.; Ramakrishnan, R.; Musicant, D.;
2004 / IEEE / 0-7695-2142-8
This item was taken from the IEEE Conference ' Mass spectrum labeling: theory and practice ' We introduce the problem of labeling a particle's mass spectrum with the substances it contains, and develop several formal representations of the problem, taking into account practical complications such as unknown compounds and noise. This task is currently a bottle-neck in analyzing data from a new generation of instruments for real-time environmental monitoring.
Machine Learning Algorithms
Working Environment Noise
Mass Spectrum Labeling
Real-time Environmental Monitoring