2. NPS Outstanding Theses and Dissertations
Now showing items 1-5 of 5
A METHOD FOR CLASSIFICATION OF INCOMPLETE NETWORKS: TRAINING THE MODEL WITH COMPLETE AND INCOMPLETE INFORMATION
(Monterey, CA; Naval Postgraduate School, 2019-03)
The rise of accessible real-world data creates a growing interest in effective methods for accurate classification, especially for networks with incomplete information. The intelligence community requires an understanding ...
HYBRID SIS AND MARKOV CHAIN MONTE CARLO SAMPLING METHODOLOGY FOR GOODNESS-OF-FIT TESTS ON CONTINGENCY TABLES
(Monterey, CA; Naval Postgraduate School, 2018-09)
Logistic regression is one of the most popular means of modeling contingency table data due to its ease of use. Simple asymptotic inference (like a χ2 approximation) for evaluating goodness-of-fit tests, however, may not ...
PREDICTING THE SPREAD OF TERRORIST ORGANIZATIONS USING GRAPHS
(Monterey, CA; Naval Postgraduate School, 2018-06)
The U.S. Defense and Intelligence communities expend vast amounts of resources tracking and trying to predict the geographic spread of terrorist groups such as the Islamic State of Iraq and Syria (ISIS). Current approaches ...
Assessing the robustness of graph statistics for network analysis under incomplete information
(Monterey, California: Naval Postgraduate School, 2018-03)
Due to the emergence of powerful global terrorist organizations such as Al Qaeda and ISIS over the last 15 years, social network analysis is increasingly leveraged by the Department of Defense to develop strategies to ...
Analysis of shiphandlers' eye-gaze and simulation data for improvements in COVE-ITS system
(Monterey, California: Naval Postgraduate School, 2017-06)
An intelligent tutoring system (ITS) is paired with U.S. Navy immersive virtual trainer for shiphandling called Conning Officer Virtual Environment (COVE) to monitor students' performance and provide spoken feedback. The ...
Yoshida, Ruriko (5)
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Operations Research (5)
Operations Research (OR) (5)