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Filtering by: Advisor Paffenroth, Randy Clinton Contributor Paffenroth, Randy Clinton Unit (Department) Data Science Collections Masters Theses Publisher Worcester Polytechnic Institute Resource type Thesis Year 2018

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

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Dimension Reduction and LASSO using Pointwise and Group Norms

Parameter Continuation with Secant Approximation for Deep Neural Networks

Kernel Coherence Encoders

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