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Analyzing the Role of Natural Language in Neural-Symbolic Models

Description:

The world is awash in data and much of artificial intelligence focuses on learning models of the underlying structure in this data or the mechanisms governing its evolution. Both neural and symbolic models have weaknesses that make these models sub-optimal from a use perspective. Much of this data is in...

Keyword:

Neural-Symbolic Models, Natural Language Processing, Artificial Intelligence, Neural Network Language Models, Finance Models, and Machine Learning

Subject:

Computer science

Creator:

Demeter, David

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/01/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_769746 and http://dissertations.umi.com/northwestern:15319
Mutational Processes Modeling and Early Cancer Diagnosis

Description:

Annual age-adjusted breast cancer incidence rates in the United States have been static for decades. More recently, the development of massively parallel, high throughput DNA sequencing has enabled the cataloging of somatic mutations in cancer. Mutations are non-random and occur within sequence motifs. These motifs provide us with evidence to...

Keyword:

Natural Language Processing, Electronic Health Records, Genomics, Mutational Processes, Breast Cancer, and Machine Learning

Subject:

Bioinformatics and Computer science

Creator:

Zeng, Zexian

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14500 and etdadmin_upload_635668

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Analyzing the Role of Natural Language in Neural-Symbolic Models

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