Browsing MIT Theses by Title
Now showing items 32535-32554 of 61670
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Learning the magnitude and duration of influence of infections
(Massachusetts Institute of Technology, 2019)Clostridioides difficile infections (CDIs) impose a substantial burden on the healthcare system leading to poor health out comes, mortality and costs to the heath-care system estimated at greater than $5 billion. One of ... -
Learning the meaning of music
(Massachusetts Institute of Technology, 2005)Expression as complex and personal as music is not adequately represented by the signal alone. We define and model meaning in music as the mapping between the acoustic signal and its contextual interpretation - the 'community ... -
Learning the probability of activation in the presence of latent spreaders
(Massachusetts Institute of Technology, 2017)When an infection spreads among members of a community, an individual's probability of becoming infected depends on both his susceptibility to the infection and exposure to the disease through contact with others. While ... -
Learning the process of World Wide Web data retrieval
(Massachusetts Institute of Technology, 2005)We develop a method for extracting and internalizing web site form submissions which we refer to as web operations. To begin the process, a user performs a sample submission of the form. From that submission, our system ... -
Learning the state of the world : object-based world modeling for mobile-manipulation robots
(Massachusetts Institute of Technology, 2016)Mobile-manipulation robots performing service tasks in human-centric indoor environments have long been a dream for developers of autonomous agents. Tasks such as cooking and cleaning typically involve interaction with the ... -
Learning the structure and content of an electronic medical record system
(Massachusetts Institute of Technology, 1997) -
Learning theory applications to product design modeling
(Massachusetts Institute of Technology, 2000) -
Learning through competition : resilience on the Jersey Shore after Rebuild By Design
(Massachusetts Institute of Technology, 2016)and regions have gained a sense of urgency to plan and prepare for environmental change. Cities, nonprofits, and the federal government are increasingly adopting the architecture field's design competition model as a tool ... -
Learning through looking and listening
(Massachusetts Institute of Technology, 2020)In order to read emotions, understand actions or anticipate intentions, humans need efficient ways of gathering information about each other. In particular, gaze and speech are rich sources of information about other ... -
Learning Through the Lens of Robustness
(Massachusetts Institute of Technology, 2021-09)Despite their impressive performance on large-scale benchmarks, machine learning sys- tems turn out to be quite brittle outside of the exact setting in which they were developed. How can we build ML models that are ... -
Learning time series data using cross correlation and its application in bitcoin price prediction
(Massachusetts Institute of Technology, 2014)In this work, we developed an quantitative trading algorithm for bitcoin that is shown to be profitable. The algorithm establishes a framework that combines parametric variables and non-parametric variables in a logistical ... -
Learning to act with objects, relations and physics
(Massachusetts Institute of Technology, 2021-06)Humans display an unrivalled degree of control over their environments. From a young age, humans represent the world in ways that allow them to not just make inferences about how the world works, but also to act and intervene ... -
Learning to Align the Supports of Distributions
(Massachusetts Institute of Technology, 2022-05)This thesis studies the problem of aligning the supports of distributions. Compared to the existing work on distribution alignment, support alignment does not require the densities to be matched. We propose symmetric support ... -
Learning to answer questions from semi-structured knowledge sources
(Massachusetts Institute of Technology, 2016)Question answering is an efficient and convenient way for humans to make use of the massive amount of information on the Web. I start with an interesting source of information -- infoboxes in Wikipedia that summarize factoid ... -
Learning to Ask Like a Physician
(Massachusetts Institute of Technology, 2022-05)Existing question answering (QA) datasets derived from electronic health records (EHR) are artificially generated and, as a result, fail to capture realistic physician information needs. We present Discharge Summary Clinical ... -
Learning to collaborate : lessons from the design studio
(Massachusetts Institute of Technology, 1997)This thesis examines the dynamics of collaboration within the architectural design studio by focusing on the basic elements of group interaction (Commitment, Conflict, Communication, the Collaborative Process and the Role ... -
Learning to collaborate : robots building together
(Massachusetts Institute of Technology, 2018)Since robots were first invented, robotic assembly has been an important area of research in both academic institutions and industry settings. The standard industry approach to robotic assembly lines utilizes fixed robotic ... -
Learning to draw vector graphics : applying generative modeling to font glyphs
(Massachusetts Institute of Technology, 2018)Today, designers work in tandem with computerized tools to create stylized graphic designs, diagrams, and icons. In this work, we explore the applications of generative modeling to the design of vectorized drawings, with ... -
Learning to fly : computational controller design for hybrid UAVs with reinforcement learning
(Massachusetts Institute of Technology, 2019)Hybrid unmanned aerial vehicles (UAV) combine advantages of multicopters and fixed-wing planes: vertical take-off, landing, and low energy use. However, hybrid UAVs are rarely used because controller design is challenging ... -
Learning to Ground Multi-Agent Communication with Autoencoders
(Massachusetts Institute of Technology, 2021-09)Communication requires having a common language, a lingua franca, between agents. This language could emerge via a consensus process between agents, but this may require many generations of trial and error. Alternatively, ...
