Book Review of Archaeological Theory and the Politics of Cultural Heritage by Laurajane Smith

The passage of the Native American Graves Protection and Repatriation Act (NAGPRA) in 1991 significantly changed the way archaeology would be done in the United States. This act was presaged by growing complaints and resentment directed at the scientific community by Native Americans over the treatment of their ancestral remains. Many of the underlying issues came to a head with the discovery and subsequent court battles over the 9,200-year-old individual commonly known as Kennewick Man. This had a galvanizing effect on the discipline, not only perpetuating the sometimes adversarial relationship between archaeologists and Native Americans, but also creating a rift between those archaeologists who understood Native American concerns and those who saw their ancestral skeletal remains representing the legacy of humankind and thus belonging to everyone. Similar scenarios have emerged in Australia.

An Extended Kernel for Generalized Multiple-Instance Learning

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.