发明名称 SUPERVISED AND SEMI-SUPERVISED ONLINE BOOSTING ALGORITHM IN MACHINE LEARNING FRAMEWORK
摘要 A method for classification of samples comprising providing a trained statistical model based upon a set of initial samples. Receiving a set of first samples and training a first statistical model base upon the first set of samples, where the first statistical model is of the same class as the trained statistical model. Receiving a set of second samples and training a second statistical model base upon the second set of samples, where the second statistical model is of the same class as the trained statistical model. The trained statistical model, the first statistical model, and the second statistical model, being independent of each other and collectively used to classify another sample.
申请公布号 US2012263376(A1) 申请公布日期 2012.10.18
申请号 US201113085329 申请日期 2011.04.12
申请人 WANG FAN;XU XINYU;YUAN CHANG;VAN BEEK PETRUS J.L.;SHARP LABORATORIES OF AMERICA, INC. 发明人 WANG FAN;XU XINYU;YUAN CHANG;VAN BEEK PETRUS J.L.
分类号 G06K9/62 主分类号 G06K9/62
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