Search
Now showing items 21-28 of 28
Structure, dynamics, and inference in networks
(Massachusetts Institute of Technology, 2020)
Networks offer a unified, conceptual formalism for reasoning about complex, relational systems. While pioneering work in network science focused primarily on the ability of "universal" models to explain the features of ...
Improving prior knowledge assessment in process characterization
(Massachusetts Institute of Technology, 2020)
A critical aspect of biologics manufacturing is creating a safe, reliable and consistent manufacturing process. The manufacturing process design includes process characterization (PC) experiments to demonstrate process ...
Understanding neural network sample complexity and interpretable convergence-guaranteed deep learning with polynomial regression
(Massachusetts Institute of Technology, 2020)
We first study the sample complexity of one-layer neural networks, namely the number of examples that are needed in the training set for such models to be able to learn meaningful information out-of-sample. We empirically ...
From data to decisions in urban transit and logistics
(Massachusetts Institute of Technology, 2020)
Urban transit and city logistics have undergone major changes in recent years, including increased peak congestion, shrinking mass transit ridership, and the introduction of ride-sharing and micro-mobility platforms. At ...
Information fusion for an unmanned underwater vehicle through probabilistic prediction and optimal matching
(Massachusetts Institute of Technology, 2020)
This thesis presents a method for information fusion for an unmanned underwater vehicle (UUV).We consider a system that fuses contact reports from automated information system (AIS) data and active and passive sonar sensors. ...
Prescriptive methods for adaptive learning
(Massachusetts Institute of Technology, 2020)
It is undeniable that recent world events and globalization have transformed online learning into one of the main channels for education. Online learning has become a necessity, not a luxury. Universities, schools, and ...
Algorithmic advancements in discrete optimization : applications to machine learning and healthcare operations
(Massachusetts Institute of Technology, 2020)
In the next ten years, hospitals will operate like air-traffic control centers whose role is to coordinate care across multiple facilities. Consequently, the future of hospital operations will have three salient characteristics. ...
Structural and algorithmic aspects of linear inequality systems
(Massachusetts Institute of Technology, 2020)
Linear inequality systems play a foundational role in Operations Research, but many fundamental structural and algorithmic questions about linear inequality systems remain unanswered. This thesis considers and addresses ...