Browsing Doctoral Theses by Title
Now showing items 3742-3761 of 22187
-
Data Efficient Reinforcement Learning
(Massachusetts Institute of Technology, 2021-06)Reinforcement learning (RL) has recently emerged as a generic yet powerful solution for learning complex decision-making policies, providing the key foundational underpinnings of recent successes in various domains, such ... -
Data mining techniques for large-scale gene expression analysis
(Massachusetts Institute of Technology, 2011)Modern computational biology is awash in large-scale data mining problems. Several high-throughput technologies have been developed that enable us, with relative ease and little expense, to evaluate the coordinated expression ... -
Data mining, inference, and predictive analytics for the built environment with images, text, and WiFi data
(Massachusetts Institute of Technology, 2017)What can campus WiFi data tell us about life at MIT? What can thousands of images tell us about the way people see and occupy buildings in real-time? What can we learn about the buildings that millions of people snap ... -
Data proxies, the cognitive layer, and application locality : enablers of cloud-connected vehicles and next-generation internet of things
(Massachusetts Institute of Technology, 2016)Intelligent and Connected Vehicles reduce cost, improve safety, and enhance comfort relative to isolated vehicles. This ability for cars to sense, infer, and act facilitates data-driven improvements in occupant experience ... -
Data quality management : foundations in error measurement and propagation
(Massachusetts Institute of Technology, 1996) -
Data reconciliation in bioprocess development
(Massachusetts Institute of Technology, 1997) -
Data science and advanced analytics : an integrated framework for creating value from data
(Massachusetts Institute of Technology, 2018)Fundamental problems in society, such as medical decision support, urban planning and customer management, can be addressed by data-driven modeling. Frequently, the only data available are observational rather than ... -
Data Science in Investment Management
(Massachusetts Institute of Technology, 2023-09)In this thesis, titled "Data Science in Investment Management," we aim to explore the applications of data science and artificial intelligence across various dimensions of investment management, offering innovative solutions ... -
Data selection in binary hypothesis testing
(Massachusetts Institute of Technology, 2004)Traditionally, statistical signal processing algorithms are developed from probabilistic models for data. The design of the algorithms and their ultimate performance depend upon these assumed models. In certain situations, ... -
Data storage hierarchy systems for data base computers.
(Massachusetts Institute of Technology, 1979) -
A data storage system based on patterned magnetic media and magnetic force microscopy
(Massachusetts Institute of Technology, 1999)In recent years, there are increasing demands for the high performance data storage systems. Periodic arrays of nanostructured magnetic pillars have been proposed as a patterned medium for high density data storage. In ... -
Data structure repair using goal-directed reasoning
(Massachusetts Institute of Technology, 2006)Software errors, hardware faults, and user errors can cause data structures in running applications to become damaged so that they violate key consistency properties. As a result of this violation, the application may ... -
Data visualization in the first person
(Massachusetts Institute of Technology, 2013)This dissertation will examine what a first person viewpoint means in the context of data visualization and how it can be used for navigating and presenting large datasets. Recent years have seen rapid growth in Big Data ... -
Data, models and decisions for large-scale stochastic optimization problems
(Massachusetts Institute of Technology, 2016)Modern business decisions exceed human decision making ability: often, they are of a large scale, their outcomes are uncertain, and they are made in multiple stages. At the same time, firms have increasing access to data ... -
Data-driven algorithms for operational problems
(Massachusetts Institute of Technology, 2017)In this thesis, we propose algorithms for solving revenue maximization and inventory control problems in data-driven settings. First, we study the choice-based network revenue management problem. We propose the Approximate ... -
Data-driven approach to health care : applications using claims data
(Massachusetts Institute of Technology, 2008)Large population health insurance claims databases together with operations research and data mining methods have the potential of significantly impacting health care management. In this thesis we research how claims data ... -
Data-driven approach to understanding exciton-exciton interactions in CsPbBr₃ nanocrystals
(Massachusetts Institute of Technology, 2019)Lead halide perovskites are a rapidly developing class of materials of interest for optoelectronic applications. They have a number of desirable properties such as long carrier diffusion lengths and defect tolerance that ... -
Data-driven approaches for complex systems: leveraging machine learning, materials science, and manufacturing for new biomedical technologies
(Massachusetts Institute of Technology, 2023-06)Many research efforts to advance human health and well-being involve interdisciplinary problem spaces and complex, poorly-understood systems. This thesis integrates both computational and experimental approaches to advance ... -
Data-driven decision making in online and offline retail/
(Massachusetts Institute of Technology, 2020).Retail operations have experienced a transformational change in the past decade with the advent and adoption of data-driven approaches to drive decision making. Granular data collection has enabled firms to make personalized ... -
Data-Driven Decision Making in Operations Management
(Massachusetts Institute of Technology, 2023-06)Encouraged by the plethora of advances in artificial intelligence (AI) in the past decade, this thesis studies the length to which we can push various business operations with new technologies, in our theoretical understanding ...