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Filtering by: Creator American Mining Congress Advisor Dietterich, Thomas G. Committee Member Tadepalli, Prasad

Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

Creator:

Dodge, Jonathan E.

Abstract:

Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...

Resource Type:

Dissertation
A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

Creator:

Emmott, Andrew F.

Abstract:

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...

Resource Type:

Masters Thesis
Monte Carlo Tree Search with Fixed and Adaptive Abstractions

Creator:

Hostetler, Jesse A.

Abstract:

Monte Carlo tree search (MCTS) is a class of online planning algorithms for Markov decision processes (MDPs) and related models that has found success in challenging applications. In the online planning approach, the agent makes a decision in the current state by performing a limited forward search over possible futures...

Resource Type:

Dissertation