American Indians and Alaska Natives (AI/ANs) have a unique, traumatic, and alienating history of education in the U.S., which may be directly related to overall health and well-being. Community engagement is critical in well-being research with Native communities, especially when investigating culturally sensitive topics, such as early education experiences. This study investigates the value of...

As poor data quality usually leads to high costs, managing data quality is essential for organizations. Thereby, comparing the current with the required data quality level is necessary for an effective and economics-driven data quality management. Otherwise decision makers might decide in favor of unsuitable or inefficient data quality improvement measures with respect to cost and benefit. Exis...

Prior social science research has shown that tie strength is a useful indicator of context-dependent trust in many real-world relationships. Yet, it is often challenging to gauge trust in online environments. Given a multitude of variables that represent social relationships, we explore how to visualize interpersonal tie strength to empower people to make informed, context-dependent online trus...

In this paper, we present an analysis of planning with uncertain information regarding both the state of the world and the eeects of actions using a Strips-or (propositional) Adl-style representation 4, 17]. We provide formal deenitions of plans under incomplete information and conditional plans, and describe Plinth, a conditional linear planner based on these deenitions. We also clarify the de...

By introducing a new operation, the exponentiation of formal languages, we can define Heyting algebras of formal languages. It turns out that some well known families of languages are closed under this exponentiation, e. g., the families of regular and of context-sensitive languages.

Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes. However, standard classification methods do not take these costs into account, and assume a constant cost of misclassification errors. In previous works, some methods that take into account the financial costs into...