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    AuthorMadden, Michael G. (3)Howley, Tom (2)Ryder, Alan G. (2)Conroy, Jennifer (1)Hennessey, Kenneth (1)... View MoreSubject
    Chemometrics (3)
    Machine learning (3)
    Chemical elements -- Spectra (1)Chemical spectra (1)Chlorinated solvents (1)... View MoreDate Issued2008 (1)2005 (2)TypeConference Paper (3)

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    A Machine Learning Application for Classification of Chemical Spectra 

    Madden, Michael G.; Howley, Tom (2008)
    This paper presents a software package that allows chemists to analyze spectroscopy data using innovative machine learning (ML) techniques. The package, designed for use in conjunction with lab-based spectroscopic ...
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    Qualitative and Quantitative Analysis of Chlorinated Solvents using Raman Spectroscopy and Machine Learning 

    Madden, Michael G.; Hennessey, Kenneth; Leger, Marc N.; Ryder, Alan G.; Conroy, Jennifer (2005)
    The unambiguous identification and quantification of hazardous materials is of increasing importance in many sectors such as waste disposal, pharmaceutical manufacturing, and environmental protection. One particular ...
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    The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data 

    Ryder, Alan G.; O Connell, Marie-Louise; Madden, Michael G.; Howley, Tom (2005)
    The classi¿cation of high dimensional data, such as images, gene-expression data and spectral data, poses an interesting challenge to machine learning, as the presence of high numbers of redundant or highly correlated ...
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