Search results
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Title
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Emotion Mining From Text and Actionable Pattern Discovery
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Author
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Ranganathan, Jaishree
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Date Created
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2020
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Subjects--Topical
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Computer science
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Description
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In the era of Web 2.0, people express their opinion, feelings and thoughts about topics including political and cultural events, natural disasters, products and services, through mediums such as blogs, forums, and micro-blogs, like Twitter. Also, ...
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Title
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Non-nested Model Selection via Empirical Likelihood
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Author
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Zhao, Cong
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Date Created
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2017
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Subjects--Topical
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Statistics
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Description
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In this dissertation we propose an empirical likelihood ratio (ELR) test to conductnon-nested model selection. It allows for heteroscedasticity and works for any twosupervised statistical learning methods under mild conditions. We establish asympt...
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Title
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Recommender System for Improving Churn Rate
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Author
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Duan, Yuehua
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Date Created
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2022
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Subjects--Topical
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Computer science
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Description
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Customer churn leads to higher customer acquisition cost, lower volume of service consumption and reduced product purchase. Reducing the outflow of the customers by 5% can double the profit of a typical company. Therefore, it is of significant value ...
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Title
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SEVERAL STATISTICAL RESULTS UNDER MULTINOMIAL DISTRIBUTION WITH INFINITE CATEGORIES
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Author
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Zhou, Jun
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Date Created
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2009
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Subjects--Topical
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Statistics, Mathematics
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Description
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This dissertation discusses several statistical results under multinomial distribution with infinite categories. Firstly, the discussion focuses on Simpson's diversity index and Turing's formula. We established an unbiased estimate for the newly p...
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Title
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Secure Cryptographic Designs Resilient to Side-Channel Attacks
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Author
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Gui, Yutian
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Date Created
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2021
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Subjects--Topical
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Electrical engineering
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Description
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The rapid development of IoT devices and distributed computing brings convenience and high efficiency to modern society. To enhance the security of hardware devices, quite a few cryptographic algorithms were proposed and applied. These encryption ...
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Title
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Task-Specific Uncertainty for Industrial Measurements
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Author
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Valdez, Mario
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Date Created
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2015
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Subjects--Topical
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Mechanical engineering
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Description
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The purpose of measurement is to provide information about a quantity of interest – a measurand. Since no measurands are exactly known, measurement uncertainty is estimated for common measuring tasks in order to quantify the result of a measuring ...