Master’s Thesis Presentation • Natural Phenomena Simulation — On Skin Cyanotic Appearances and Spectral Responses Elicited by Methemoglobinemia and Sulfhemoglobinemia
Stephen Askew, Master’s candidate
David R. Cheriton School of Computer Science
Stephen Askew, Master’s candidate
David R. Cheriton School of Computer Science
Edward Zulkoski, PhD candidate
David R. Cheriton School of Computer Science
Michael Cormier, PhD candidate
David R. Cheriton School of Computer Science
Chunhao Wang, PhD candidate
David R. Cheriton School of Computer Science
Corwin Sinnamon, Master’s candidate
David R. Cheriton School of Computer Science
Michael Mior, PhD candidate
David R. Cheriton School of Computer Science
Cecylia Bocovich, PhD candidate
David R. Cheriton School of Computer Science
Kshitij Jain, Master’s candidate
David R. Cheriton School of Computer Science
We introduce a problem called the Minimum Shared-Power Edge Cut (MSPEC). The input to the problem is an undirected edge-weighted graph with distinguished vertices s and t, and the goal is to find an s-t cut by assigning "powers'' at the vertices and removing an edge if the sum of the powers at its endpoints is at least its weight. The objective is to minimize the sum of the assigned powers.
Shahin Rahbariasl, Master’s candidate
David R. Cheriton School of Computer Science
Nimesh Ghelani, Master’s candidate
David R. Cheriton School of Computer Science
High recall information retrieval is crucial to tasks such as electronic discovery and systematic review. Continuous Active Learning (CAL) is a technique where a human assessor works in loop with a machine learning model; the model presents a set of documents likely to be relevant and the assessor provides relevance feedback.