Abstract
Probabilistic relational modelling and learning is used for the problem of diagnosing lung cancer based on data obtained from peak clusters in ion mobility spectra. Markov Logic Networks and the MLN system Alchemy are employed for various modelling and learning scenarios which are evaluated with respect to ease of use, classification accuracy, and knowledge representation aspects. © Springer-Verlag Berlin Heidelberg 2010.
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CITATION STYLE
Finthammer, M., Beierle, C., Fisseler, J., Kern-Isberner, G., Möller, B., & Baumbach, J. I. (2010). Probabilistic Relational Learning for Medical Diagnosis Based on Ion Mobility Spectrometry. In Communications in Computer and Information Science (Vol. 80 PART 1, pp. 365–375). https://doi.org/10.1007/978-3-642-14055-6_38
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