Brown University Theses and Dissertations

Brown University Library archives dissertations in accordance with the Brown Graduate School policy.

For dissertations published prior to 2008, please consult the following Dissertation LibGuide

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Items (1-20) out of 28 results

A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding

Description:
Given a stationary state-space model that relates a sequence of hidden states and corresponding measurements or observations, Bayesian filtering provides a principled statistical framework for …
Year:
2019
Contributor:
Burkhart, Michael C. (creator)
Harrison, Matthew (Advisor)
Gidas, Basilis (Reader)
Darbon, Jerome (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Machine Learning
Brain-computer interfaces
Gaussian processes
Bayesian filtering
Supervised learning (Machine learning)
Neural decoding
Hidden Markov models
State-space models
Neural networks (Computer science)
Computational neuroscience
Discriminative probabilistic modeling
Nonparametric statistics
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

A Next Generation Analysis Pipeline for 21cm Epoch of Reionization Studies

Description:
The Epoch of Reionization (EoR) is a period during the history of the Universe that as of today has been largely unconstrained by cosmological measurements. …
Year:
2019
Contributor:
Kerrigan, Joshua (creator)
Pober, Jonathan (Advisor)
Tucker, Gregory (Reader)
Dell'Antonio, Ian (Reader)
Brown University. Department of Physics (sponsor)
Genre:
theses
Subject:
Machine Learning
Cosmology
Radio astronomy
Epoch of reionization
21cm
Collection:
Physics
Theses and Dissertations
Full Record

A Theory of Abstraction in Reinforcement Learning

Description:
Reinforcement learning defines the problem facing agents that learn to make good decisions through action and observation alone. To be effective problem solvers, such agents …
Year:
2020
Contributor:
Abel, David (creator)
Littman, Michael (Advisor)
Konidaris, George (Reader)
Tellex, Stefanie (Reader)
Stone, Peter (Reader)
Dabney, Will (Reader)
Brown University. Department of Computer Science (sponsor)
Genre:
theses
Subject:
Machine Learning
Reinforcement learning
Artificial intelligence
Abstraction
Sequential Decision Making
Collection:
Computer Science
Theses and Dissertations
Full Record

Advancing High-Throughput Molecular Information Systems

Description:
While information systems are often associated with microelectronic devices, every physical process can be interpreted as an exchange of information. With the slowing of Moore's …
Year:
2020
Contributor:
Arcadia, Christopher E (creator)
Rosenstein, Jacob (Advisor)
Reda, Sherief (Reader)
Stein, Derek (Reader)
Brown University. Engineering: Electrical Sciences and Computer Engineering (sponsor)
Genre:
theses
Subject:
Machine Learning
Mass spectrometry
Nanopores
Multicomponent Reactions
Chemical Computing
Molecular Memory
Single Molecule Sensing
Meniscus Contact
Low Noise Amplifier
Automation
High Throughput Screening
combinatorial chemistry
information storage
Scanning Probe
Collection:
Engineering
Electrical Sciences and Computer Engineering
Theses and Dissertations
Full Record

Algorithms for the Personalization of AI for Robots and the Smart Home

Description:
Just as an interconnected-computerized world has produced large amounts of data resulting in exciting challenges for machine learning, connected households with robots and smart devices …
Year:
2018
Contributor:
Brawner, Stephen Andrew (creator)
Charniak, Eugene (Reader)
Littman, Michael L. (Advisor)
Cakmak, Maya (Reader)
Brown University. Department of Computer Science (sponsor)
Genre:
theses
Subject:
Machine Learning
Artificial intelligence
Robotics
Collection:
Computer Science
Theses and Dissertations
Full Record

Alto.Glove: Instrument and Augmentation

Description:
This thesis discusses the design of a sensor-embedded data glove called alto.glove, created by the author and used in interactive performances involving string instrument playing …
Year:
2018
Contributor:
Thorn, Seth Dominicus (creator)
Rovan, Joseph Butch (Advisor)
Winkler, Todd (Reader)
Evens, Aden (Reader)
Brown University. Department of Music (sponsor)
Genre:
theses
Subject:
Machine Learning
Music
Signal processing--Digital techniques
physical computing
Arduino (Programmable controller)
max msp
max for live
musical expression
Violin
Viola
Critique of Reason
Resistance
Gaming Theory
Proceduralism
Style
Musical Gesture
Data Gloves
Hyperinstrument
Poetics of Gesture
Collection:
Music
Theses and Dissertations
Available to Brown-affiliated users only
Full Record

Cross-Document Coreference Resolution for Entities and Events

Description:
Coreference Resolution is a fundamental natural language processing (NLP) problem, as it attempts to resolve which underlying discourse objects refer to one another. Further, it …
Year:
2019
Contributor:
Tanner, Christopher (creator)
Charniak, Eugene (Advisor)
Pavlick, Ellie (Reader)
Tellex, Stefanie (Reader)
Littman, Michael (Reader)
Brown University. Department of Computer Science (sponsor)
Genre:
theses
Subject:
Machine Learning
Natural language processing (Computer science)
Artificial intelligence
Computer science
coreference resolution
Computational linguistics
Discourse analysis
Collection:
Computer Science
Theses and Dissertations
Full Record

Decoding hindlimb kinematics from primate motor cortex using long short-term memory recurrent neural networks

Description:
Recent machine learning techniques have become a powerful tool in a variety of tasks, including neural decoding. Artificial neural network models, particularly recurrent models, can …
Year:
2018
Contributor:
Wang, Yinong (creator)
Borton, David (Advisor)
Truccolo, Wilson (Advisor)
Silverman, Harvey (Reader)
Brown University. Biology and Medicine: Biomedical Engineering (sponsor)
Genre:
theses
Subject:
Machine Learning
Brain-Computer Interface
Neuroengineering
Collection:
Biology and Medicine
Biomedical Engineering
Theses and Dissertations
Full Record

Discovering and Solving Fractional-Order Partial Differential Equations: Machine Learning and Monte Carlo Methods

Description:
Fractional-order partial differential equations (FPDEs) describe macroscopic properties of systems driven by Levy processes and, more generally, Continuous-Time Random Walks (CTRWs). CTRWs form a versatile …
Year:
2019
Contributor:
Gulian, Mamikon Armen (creator)
Karniadakis, George (Advisor)
Ainsworth, Mark (Reader)
Cai, Wei (Reader)
Brown University. Department of Mathematics (sponsor)
Genre:
theses
Subject:
Machine Learning
Monte Carlo method
Scientific Computation
Fractional Laplacian
Gaussian processes
Fractional Partial Differential Equations
Stochastic Solution Formula
Feynman-Kac Formula
Lévy processes
Feller Processes
Path Integral Monte Carlo
Fractional Quantum Mechanics
Nonlocal Model
Data-Driven Scientific Computing
Covariance Kernel
Fourier transformations
Gaussian quadrature formulas
Finance--Mathematical models
Quantum chemistry
Collection:
Mathematics
Theses and Dissertations
Full Record

Harnessing the Power of Machine Learning Methods for Enhancing HIV Care and Treatment Within Resource-Limited Settings

Description:
Background: Prognostic prediction has empirically proven to be a highly effective paradigm that is radically reshaping public health, clinical medicine, and healthcare as a domain. …
Year:
2019
Contributor:
Kimaina, Allan Kendagor (creator)
Hogan, Joseph (Advisor)
Chrysanthopoulou, Stavroula (Reader)
Kantor, Rami (Reader)
DeLong, Allison (Reader)
Dick, Jonathan (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
Big data
HIV
GBM
Personalized medicine
xgboost
bart
stacked ensemble
superlearner
Prognostic prediction
virologic failure
virologic rebound
virologic suppression
Machine learning--Statistical methods
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Methods and Theories in Atomistic Reaction Engineering

Description:
Electronic-structure calculations have provided us with in-depth understanding of chemical and physical phenomena in atomic and molecular scales. In particular, density functional theory has been …
Year:
2018
Contributor:
Khorshidi, Alireza (creator)
Peterson, Andrew A. (Advisor)
Guduru, Pradeep R. (Reader)
Rubenstein, Brenda M. (Reader)
Brown University. School of Engineering (sponsor)
Genre:
theses
Subject:
Machine Learning
Density Functional Theory
Heterogeneous catalysis
Strains and stresses
Chemical reactions
Collection:
Engineering
Theses and Dissertations
Full Record

Methods for Identifying Allele-Specific Splicing Aberrations Associated With Human Hereditary Disease

Description:
In eukaryotes, DNA is first transcribed into precursor-messenger RNA (pre-mRNA) which is then followed by extensive RNA processing events. One such event is RNA splicing, …
Year:
2018
Contributor:
Cygan, Kamil Jan (creator)
Fairbrother, William (Advisor)
Weinreich, Daniel (Reader)
Neretti, Nicola (Reader)
Helfand, Stephen (Reader)
Sanford, Jeremy (Reader)
Brown University. Division of Biology and Medicine (sponsor)
Genre:
theses
Subject:
Machine Learning
Population genetics
Computational biology
RNA splicing
Mutation (Biology)
Variants
aberrations
Genetic disorders
Collection:
Biology and Medicine
Theses and Dissertations
Available to Brown-affiliated users only
Full Record

Multi-Fidelity Simulation Algorithm and its Application to Flow over a Cylinder

Description:
We tackle the classical problem of predicting the relation between of C_L , C_D and C_P vs Reynolds number for flow over cylinder using the …
Year:
2017
Contributor:
Patil, Prerna (creator)
Karniadakis, George (Advisor)
Brown University. School of Engineering (sponsor)
Genre:
theses
Subject:
Machine Learning
Computational fluid dynamics
Collection:
Engineering
Theses and Dissertations
Full Record

Multiscale and Mesoscopic Modeling of Soft Matter and Biophysical Systems Using High Performance Computing and Machine Learning

Description:
This dissertation is composed around the subject of multiscale modeling of soft matter and biophysical systems with applications using large-scale computations. Specifically, it is expanded …
Year:
2017
Contributor:
Tang, Yu-Hang (creator)
Karniadakis, George (Advisor)
Maxey, Martin (Reader)
Baker, Nathan (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Machine Learning
Polymers
Biophysics
Scientific Computation
High performance computing
Polymeric drug delivery systems
Soft Matter
Molecular dynamics--Computer simulation
Graphics Processing Units (GPU)
Force Field
Computer simulation
Multiscale modeling
Parallel programming
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Neural Mechanisms of Perceptual Grouping

Description:
Progress in deep feedforward neural networks has spawned great successes in many practical applications, but these models struggle to reproduce human-level generalization in tasks that …
Year:
2019
Contributor:
Kim, Junkyung (creator)
Serre, Thomas (Advisor)
Warren, William (Reader)
Bienenstock, Elie (Reader)
Brown University. Department of Cognitive, Linguistic, and Psychological Sciences (sponsor)
Genre:
theses
Subject:
Machine Learning
Computer Vision
Neural networks (Computer science)
Computational neuroscience
Deep Learning
Perceptual grouping
Feedback (Psychology)
Collection:
Cognitive, Linguistic, and Psychological Sciences
Theses and Dissertations
Available to Brown-affiliated users only
Full Record

Probabilistic Scene Grammars: A General-Purpose Framework For Scene Understanding

Description:
We propose a general-purpose probabilistic framework for scene understanding tasks. We show that several classical scene understanding tasks can be modeled and addressed under a …
Year:
2017
Contributor:
Chua, Jeroen (creator)
Felzenszwalb, Pedro (Advisor)
Geman, Stuart (Reader)
Sudderth, Erik (Reader)
Brown University. Department of Computer Science (sponsor)
Genre:
theses
Subject:
Machine Learning
Computer Vision
Collection:
Computer Science
Theses and Dissertations
Full Record

Quantifying Patterns in Dynamical Systems and Biological Data

Description:
From data clusters to fish swarms, patterns are widespread in both the natural world and in the era of big data. Across a range of …
Year:
2020
Contributor:
McGuirl, Melissa Rose (creator)
Sandstede, Bjorn (Advisor)
Blumberg, Andrew (Reader)
Harrison, Matthew (Reader)
Ramachandran, Sohini (Reader)
Brown University. Department of Applied Mathematics (sponsor)
Genre:
theses
Subject:
Machine Learning
Genetics
Patterns
agent-based models
spiral waves
topological data analysis
pattern quantification
Collection:
Applied Mathematics
Theses and Dissertations
Full Record

Quantifying Uncertainty in Data Exploration

Description:
In the age of big data, uncertainty in data constantly grows with its volume, variety and velocity. Data is noisy, biased and error-prone. Compounding the …
Year:
2019
Contributor:
Chung, Yeounoh (creator)
Upfal, Eli (Reader)
Haas, Peter (Reader)
Kraska, Tim (Advisor)
Brown University. Department of Computer Science (sponsor)
Genre:
theses
Subject:
Machine Learning
Data mining
Big data
Uncertainty Quantification
Data cleaning
Collection:
Computer Science
Theses and Dissertations
Full Record

Scalable Bayesian Nonparametric Models for Networks and Documents

Description:
We develop Bayesian nonparametric statistical models of document collections and social networks. Extending classic parametric topic models of documents, and stochastic block models of networks, …
Year:
2016
Contributor:
Kim, Daeil (creator)
Sudderth, Erik B (Advisor)
Charniak, Eugene (Reader)
Blei, David M (Reader)
Brown University. Department of Computer Science (sponsor)
Genre:
theses
Subject:
Bayesian Nonparametrics
Variational Inference
Machine Learning
Collection:
Computer Science
Theses and Dissertations
Full Record

Secondary Data Analysis of PECARN Traumatic Brain Injury in Children Dataset

Description:
We conducted a secondary data analysis of PECARN (The Pediatric Emergency Care Applied Research Network) traumatic brain injury in children dataset. To keep more information …
Year:
2019
Contributor:
Yang, Xiaofei (creator)
Papandonatos, George (Advisor)
Steele, Dale (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
traumatic brain injury
PECARN
ciTBI
Penalized regression
Logistic regression analysis
Super Learner
Collection:
Public Health
Biostatistics
Theses and Dissertations
Available to Brown-affiliated users only
Full Record

Items (1-20) out of 28 results