It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...
Close reading has long been favored as an interpretative framework within those classrooms commonly united under the umbrella of English studies. This thesis explores the role of a particular brand of close reading—one often assessed through text-dependent questions—and critiques its centrality within assessment and curriculum materials for the AP Program...