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Filtering by: Advisor Paffenroth, Randy Clinton Remove constraint Advisor: Paffenroth, Randy Clinton Unit (Department) Data Science Remove constraint Unit (Department): Data Science Resource type Thesis Remove constraint Resource type: Thesis

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Exploring Neural Network Structure through Iterative Neural Networks: Connections to Dynamical Systems

Keyword:

Iterative, Neural Network, Recurrent Neural Network, Machine Learning, Sparse, and Sparsity

Creator:

Hershey, Quincy

Advisor:

Paffenroth, Randy Clinton

Publisher:

Worcester Polytechnic Institute

Date Created:

2023-04-20

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
A Detailed Accounting of Error in Neural Networks: Applications to Electromagnetics

Keyword:

error analysis, electromagnetic signal processing, machine learning, kalman filter, source localization, and maximum likelihood estimator (MLE)

Creator:

Barger, Maria

Advisor:

Paffenroth, Randy Clinton

Publisher:

Worcester Polytechnic Institute

Date Created:

2022-08-08

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Multi-modal Deep Learning

Keyword:

multi-modal and deep learning

Creator:

Liu, Si

Advisor:

Paffenroth, Randy Clinton

Publisher:

Worcester Polytechnic Institute

Date Created:

2022-04-26

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Cycles Improve Conditional Generators

Keyword:

GAN, Conditional, Deep Learning, Generation, Cycle, and Machine Leaning

Creator:

Moore, Alexander M.

Advisor:

Paffenroth, Randy Clinton and Kong, Xiangnan

Publisher:

Worcester Polytechnic Institute

Date Created:

2021-04-30

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Anomaly Detection with Advanced Nonlinear Dimensionality Reduction

Keyword:

Anomaly Detection, Dimensionality Reduction, Manifold Learning, and Unsupervised Learning

Creator:

Beach, David J.

Advisor:

Paffenroth, Randy Clinton

Publisher:

Worcester Polytechnic Institute

Date Created:

2020-05-07

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Machine learning approaches to manufacturing and materials: Applications to semi-supervised, unbalanced and heterogeneous data problems

Creator:

Karkare, Rasika S

Advisor:

Paffenroth, Randy Clinton

Publisher:

Worcester Polytechnic Institute

Date Created:

2019-08-07

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Dimension Reduction and LASSO using Pointwise and Group Norms

Keyword:

Dimension Reduction, LASSO, and Robust Sparse PCA

Creator:

Jutras, Melanie A

Advisor:

Paffenroth, Randy Clinton

Publisher:

Worcester Polytechnic Institute

Date Created:

2018-12-12

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Parameter Continuation with Secant Approximation for Deep Neural Networks

Keyword:

non-convex, homotopy, Deep Learning, parameter continuation , Optimization, and secant

Creator:

Pathak, Harsh N.

Advisor:

Paffenroth, Randy Clinton

Publisher:

Worcester Polytechnic Institute

Date Created:

2018-12-05

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Kernel Coherence Encoders

Keyword:

Kernel methods, Autoencoders, KCCA, and CCA

Creator:

Sun, Fangzheng

Advisor:

Paffenroth, Randy Clinton

Publisher:

Worcester Polytechnic Institute

Date Created:

2018-04-23

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Compressed Sensing via Partial L1 Minimization

Keyword:

partial L1 minimization, the augmented Lagrangian method , L0 minimization, truncated L1 minimization, compressed sensing, and L1 minimization

Creator:

Zhong, Lu

Advisor:

Paffenroth, Randy Clinton

Publisher:

Worcester Polytechnic Institute

Date Created:

2017-04-27

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science

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Masters Theses13

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Creator

Amadeo, Lily1
Barger, Maria1
Beach, David J.1
Biradar, Rakesh1
Hershey, Quincy1
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Advisor

Kong, Xiangnan1
Paffenroth, Randy Clinton[remove]13

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Kong, Xiangnan2
Liu, Xiaozhong1
Paffenroth, Randy Clinton13
Trapp, Andrew C1
Zekavat, Seyed A.1

Unit (Department)

Data Science[remove]13

Publisher

Worcester Polytechnic Institute13

Resource type

Thesis[remove]13

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