Browsing MIT Theses by Title
Now showing items 44878-44897 of 61728
-
Probabilistic modeling of kidney dynamics for renal failure prediction
(Massachusetts Institute of Technology, 2013)The large quantity of clinical data collected from the Intensive Care Unit (ICU) has made clinical investigation by a data-driven approach more effective. In this thesis, we developed probabilistic models for modeling ... -
Probabilistic modeling of planar pushing
(Massachusetts Institute of Technology, 2018)This work studies the problem of data-driven modeling and stochastic filtering of complex dynamical systems. The main contributions are GP-SUM, a filtering algorithm tailored to systems expressed as Gaussian processes (GP), ... -
Probabilistic modeling of the drug development domain: A Bayesian domain-knowledge application for pharmacovigilance
(Massachusetts Institute of Technology, 2003)A recent analysis by the Tufts Center for the Study of Drug Development estimates that the cost of developing a single new chemical entity (NCE) into a successful therapeutic agent is $802 million. This figure is largely ... -
Probabilistic models and optimization algorithms for large-scale transportation problems
(Massachusetts Institute of Technology, 2020)This thesis tackles two major challenges of urban transportation optimization problems: (i) high-dimensionality and (ii) uncertainty in both demand and supply. These challenges are addressed from both modeling and algorithm ... -
Probabilistic models for mobile phone trajectory estimation
(Massachusetts Institute of Technology, 2011)This dissertation is concerned with the problem of determining the track or trajectory of a mobile device - for example, a sequence of road segments on an outdoor map, or a sequence of rooms visited inside a building - in ... -
Probabilistic models for multi-view semi-supervised learning and coding
(Massachusetts Institute of Technology, 2009)This thesis investigates the problem of classification from multiple noisy sensors or modalities. Examples include speech and gesture interfaces and multi-camera distributed sensor networks. Reliable recognition in such ... -
Probabilistic motion planning and optimization incorporating chance constraints
(Massachusetts Institute of Technology, 2018)For high-dimensional robots, motion planning is still a challenging problem, especially for manipulators mounted to underwater vehicles or human support robots where uncertainties and risks of plan failure can have severe ... -
Probabilistic network models for cardiovascular monitoring
(Massachusetts Institute of Technology, 2007)While treating patients during their hospital stay, physicians must frequently take into consideration massive amounts of clinical data. This data can come in many forms, such as continuous blood pressure tracings, ... -
Probabilistic Oil and Gas Production Forecasting using Machine Learning
(Massachusetts Institute of Technology, 2021-09)This thesis improves oil- and gas-well profitability by quantifying the uncertainty of the production-forecasting process, using probabilistic machine learning (ML) techniques. A Bayesian Neural Network successfully modelled ... -
Probabilistic on-line transportation problems with carrying-capacity constraints
(Massachusetts Institute of Technology, 2014)This thesis presents new insights and techniques for the analysis and design of autonomous or technology-assisted ("intelligent") transportation systems. The focus is on cooperative, on-line planning and control, of a fleet ... -
Probabilistic optimization of vibrational systems under stochastic excitation containing extreme forcing events
(Massachusetts Institute of Technology, 2017)For the past few decades there has been an increased interest for efficient quantification schemes of the response statistics of vibrational systems operating in stochastic settings with the aim of providing optimal ... -
Probabilistic performance-based geometric tolerancing of compressor blades
(Massachusetts Institute of Technology, 2005)The relationship between tolerances of statically measured geometric parameters and the aerodynamic performance of a sample of manufactured airfoils is investigated in this thesis. The objective is to determine which ... -
Probabilistic procrustean models for shape recognition with an application to robotic grasping
(Massachusetts Institute of Technology, 2008)Robot manipulators largely rely on complete knowledge of object geometry in order to plan their motion and compute successful grasps. If an object is fully in view, the object geometry can be inferred from sensor data and ... -
Probabilistic pursuit, classification, and speech
(Massachusetts Institute of Technology, 1997) -
Probabilistic regional ocean predictions : stochastic fields and optimal planning
(Massachusetts Institute of Technology, 2018)The coastal ocean is a prime example of multiscale nonlinear fluid dynamics. Ocean fields in such regions are complex, with multiple spatial and temporal scales and nonstationary heterogeneous statistics. Due to the limited ... -
Probabilistic representation and manipulation of Boolean functions using free Boolean diagrams
(Massachusetts Institute of Technology, 1994) -
Probabilistic risk analysis of restructured electric power systems : implications for reliability analysis and policies
(Massachusetts Institute of Technology, 2001)Modem society requires reliable and safe operation of its infrastructure. Policymakers believe that, in many industries, competitive markets and regulatory incentives will result in system performance superior to that under ... -
Probabilistic segmentation for segment-based speech recognition
(Massachusetts Institute of Technology, 1998) -
Probabilistic solution of inverse problems
(Massachusetts Institute of Technology, 1985) -
A probabilistic specification-based design model : applications to search and environmental computer-aided design
(Massachusetts Institute of Technology, 1995)
