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Now showing items 11-18 of 18
New approaches to maximizing influence in large-scale social networks
(Massachusetts Institute of Technology, 2020)
With the widespread adoption of social media in today's society, the problem of identifying the most influential individuals whose adoption of a product or action will spread maximally in the network is of increased practical ...
Real-Time Calibration of Large-Scale Traffic Simulators: Achieving Efficiency Through the Use of Analytical Mode
(Massachusetts Institute of Technology, 2020)
Stochastic traffic simulators are widely used in the transportation community to model real-world urban road networks in applications ranging from real-time congestion routing and control to traffic state prediction. Online ...
New optimization approaches to matrix factorization problems with connections to natural language processing
(Massachusetts Institute of Technology, 2020)
In this thesis, we propose novel formulation optimization methods for four matrix factorization problems in depth: sparse principal component analysis, compressed sensing, discrete component analysis, and latent Dirichlet ...
Past price and trend effects in promotion planning; from prediction to prescription
(Massachusetts Institute of Technology, 2020)
Sales promotions are a popular type of marketing strategy. When undertaking a sales promotion, products are promoted using short-term price reductions to stimulate their demand and increase their sales. These sales promotions ...
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 ...
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 ...
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 ...