Learning Localized Rule Mixtures by Maximizing the Area under the ROC Curve, with an Application to the Prediction of HIV-1 Coreceptor Usage. Sing, T. Ph.D. Thesis, 3, 2004.
bibtex   
@phdthesis{
 title = {Learning Localized Rule Mixtures by Maximizing the Area under the ROC Curve, with an Application to the Prediction of HIV-1 Coreceptor Usage},
 type = {phdthesis},
 year = {2004},
 month = {3},
 institution = {Max-Planck-Institut fuer Informatik Saarbrucken},
 id = {d869fcc2-5cf9-34ce-bf05-37eb9d492d27},
 created = {2009-08-18T22:15:33.000Z},
 file_attached = {false},
 profile_id = {7edb4dd2-367e-3b20-8e26-a7e1d668fa33},
 group_id = {3f9481eb-d6d1-360a-a41c-cd46dd294d2e},
 last_modified = {2009-11-12T02:18:36.000Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Sing:2004},
 source_type = {phdthesis},
 user_context = {Ph.D.},
 bibtype = {phdthesis},
 author = {Sing, Tobias}
}

Downloads: 0