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A novel method of Bayesian learning with automatic relevance determination prior is presented that provides a powerful approach to problems of classification based on data features, for example, classifying soil liquefaction potential based on soil and seismic shaking parameters, automatically classifying the damage states of a structure after severe loading based on features of its dynamic response, and real-time classification of earthquakes based on seismic signals. After introduction of thedoi:10.1061/(asce)0733-9399(2008)134:12(1013) fatcat:nrhpkfgakngx7jc5zo5c2tunzi