2 resultados para flame kernel

em DigitalCommons@University of Nebraska - Lincoln


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The multiple-instance learning (MIL) model has been successful in areas such as drug discovery and content-based image-retrieval. Recently, this model was generalized and a corresponding kernel was introduced to learn generalized MIL concepts with a support vector machine. While this kernel enjoyed empirical success, it has limitations in its representation. We extend this kernel by enriching its representation and empirically evaluate our new kernel on data from content-based image retrieval, biological sequence analysis, and drug discovery. We found that our new kernel generalized noticeably better than the old one in content-based image retrieval and biological sequence analysis and was slightly better or even with the old kernel in the other applications, showing that an SVM using this kernel does not overfit despite its richer representation.

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Scholars have investigated witness to distant suffering (WTDS) almost entirely in visual media. This study examines it in print. This form of reporting will be examined in two publications of the religious left as contrasted with the New York Times. The thesis is that, more than any technology, WTDS consists of the journalist’s moral commitment and narrative skills and the audience’s analytical resources and trust. In the religious journals, liberation theology provides the moral commitment, the writers and editors the narrative skills and trust and the special vision of the newly empowered poor the analytical foundation. In bearing witness to those who have suffered state or guerilla terrorism in El Salvador and Nicaragua during the 1980s, we will investigate a distinction between “worthy” and “unworthy victims.” This last issue has a special ethical and political significance. Media witnessing to the suffering of strangers can help them become known, and so “worthy.” It can help them, and their plight and cause, become better recognized. This is the power of the media.